FORM 2
THE PATENTS ACT, 1970 (39 OF 1970)
&
THE PATENT RULES, 2003
COMPLETE SPECIFICATION
(See section 10 and rule 13)
“METHOD AND SYSTEM FOR PERFORMING A RELIABILITY ANALYSIS OF A
RADIO PRODUCT”
We, Jio Platforms Limited, an Indian National, of Office - 101, Saffron, Nr. Centre Point,
Panchwati 5 Rasta, Ambawadi, Ahmedabad - 380006, Gujarat, India.
The following specification particularly describes the invention and the manner in which it is
to be performed.
2
METHOD AND SYSTEM FOR PERFORMING A RELIABILITY ANALYSIS OF A
RADIO PRODUCT
TECHNICAL FIELD
5
Embodiments of the present disclosure generally relate to network performance management
systems. More particularly, embodiments of the present disclosure relate to methods and
systems for performing a reliability analysis of a radio product.
10 BACKGROUND
The following description of the related art is intended to provide background information
pertaining to the field of the disclosure. This section may include certain aspects of the art that
may be related to various features of the present disclosure. However, it should be appreciated
15 that this section is used only to enhance the understanding of the reader with respect to the
present disclosure, and not as admissions of the prior art.
Reliability is a fundamental attribute for a safe and a profitable operation of any technological
system. Reliability analysis aims at studying one or more failure mechanisms of a system and
20 at quantifying an associated likelihood. The outcomes of the reliability analysis aid to recognize
design solutions and one or more maintenance actions for avoiding failures from occurring,
and protective barriers for mitigating the outcomes of the failures.
Also, an unreliable system directly impacts performance, cost-effectiveness, safety, and
25 production yield. Further, the unreliable system is prone to one or more unexpected failures
and downtime which also leads to one or more disruptions in operations and service delivery,
which result in a degraded performance, slower processing times, and a decreased efficiency.
Further, the one or more failures and downtime incurred by the unreliable system consumes
30 costs associated with repair, maintenance, and potential loss of revenue due to one or more
disrupted operations. Moreover, the need for frequent repairs or replacements may increase
one or more operational expenses and reduce an overall cost-effectiveness of the system. The
unreliable system pose one or more risks to personnel, assets, and a surrounding environment.
Additionally, the unreliable system may experience one or more interruptions or defects in a
3
production process that results in lower production yields and a decreased output quality, which
also lead to delays in project timelines, increased scrap, or rework rates, and ultimately, reduced
effectiveness.
Hence, it is important to check the reliability of a 5 product and while calculating the reliability
of radio product there may be thousands of components and while performing reliability
analysis, all components in the system must be included that makes the process of reliability
calculation complex and challenging.
10 Several systems and methods were developed for analysing the reliability of products;
however, the existing systems and methods fail to perform an accurate reliability analysis. One
of the key problem is the inability to identify a lowest and the highest reliable section of the
product, due to which the manufactures fails to figure out where developments are required to
make the system more reliable.
15
Also, the existing solutions fails to optimize the failure rate to obtain best-case results by
incorporating all the components in the system. The failure to incorporate all the components
in the analysis may lead to unsatisfactory reliability outcomes, as certain critical components
may be overlooked or inadequately addressed. Consequently, the reliability of the product may
20 be compromised which results in one or more potential performance issues, one or more
increased maintenance requirements, and decrease customer satisfaction.
Thus, there exists an imperative need in the art to provide a system and method for performing
the reliability analysis of the radio product.
25
SUMMARY
This section is provided to introduce certain aspects of the present disclosure in a simplified
form that are further described below in the detailed description. This summary is not intended
to identify the key features or the scope of the claimed subject matter.
30
An aspect of the present disclosure may relate to a method for performing a reliability analysis
of a radio product. The method comprises grouping, by an analysis unit, one or more
components of the radio product, based on a functionality of the one or more components. The
method comprises identifying, by an identifier unit, at least one of one or more critical
4
components and one or more non-critical components based at least on the grouping of the one
or more components. The method comprises adding, by the analysis unit the one or more
critical components in a series connection in a logical group, and the one or more non-critical
components in a parallel connection. The method comprises preparing, by a generator unit, a
target reliability block 5 diagram (RBD) based on the adding. The method comprises
determining, by the analysis unit, a reliability value of the radio product for a target time period
based on the target RBD. The method comprises performing, by the analysis unit, the reliability
analysis of the radio product based on the reliability value of the radio product.
10 In an exemplary aspect of the present disclosure, the method further comprises setting, by the
analysis unit, a temperature profile for the one or more components of the radio product,
wherein the temperature profile for the one or more components is set to indicate a failure rate
of the one or more components due to a temperature condition. The method further comprises
identifying, by the identifier unit, one of a successful identification of a predetermined target
15 failure rate for the one or more components and an unsuccessful identification of the
predetermined target failure rate for the one or more components. The method further
comprises predicting, by the analysis unit using one or more reliability prediction standard
techniques, a target failure rate for the one or more components in an event of the unsuccessful
identification of the predetermined target failure rate for the one or more components. The
20 method further comprises determining, by the analysis unit, a worst-case failure rate for the
radio product based on one of the predetermined target failure rate and the target failure rate.
In an exemplary aspect of the present disclosure, the method further comprises setting, by the
analysis unit, a duty cycle of the one or more components of the radio product.
25
In an exemplary aspect of the present disclosure, the predetermined target failure rate is one of
a predetermined mean time between failure (MTBF) rate and a predetermined failure rate, and
the predetermined target failure rate is determined based on a vendor input.
30 In an exemplary aspect of the present disclosure, the worst-case failure rate for the radio
product is determined based on one of an addition of the predetermined target failure rate for
the one or more components, and an addition of the target failure rate for the one or more
components.
5
In an exemplary aspect of the present disclosure, the one or more critical components are
irreplaceable by one or more other components of the radio product.
In an exemplary aspect of the present disclosure, the method further comprises identifying by
the processing identifier unit, one 5 or more target components based on the reliability analysis
of the radio product.
Another aspect of the present disclosure may relate to a system for performing a reliability
analysis of a radio product, the system comprises an analysis unit, configured to group, one or
10 more components of the radio product, based on a functionality of the one or more components.
The system comprises an identifier unit connected at least to the analysis unit, the identifier
unit being configured to identify, at least one of one or more critical components and one or
more non-critical components based at least on the grouping of the one or more components.
The analysis unit is further configured to add the one or more critical components in a series
15 connection in a logical group, and the one or more non-critical components in a parallel
connection; and a generator unit connected at least to the identifier unit, the generator unit is
configured to prepare, a target reliability block diagram (RBD) based on the adding. The
analysis unit is further configured to determine, a reliability value of the radio product for a
target time period based on the target RBD. The analysis unit is further configured to perform,
20 the reliability analysis of the radio product based on the reliability value of the radio product.
Yet another aspect of the present disclosure may relate to a user equipment (UE) comprising a
processor connected to at least a transceiver unit, wherein the UE is configured to transmit, by
the transceiver unit, a reliability analysis request to a system, wherein the system further
25 comprises: an analysis unit, configured to group, one or more components of the radio product,
based on a functionality of the one or more components; an identifier unit connected at least to
the analysis unit, the identifier unit being configured to identify, at least one of one or more
critical components and one or more non-critical components based at least on the grouping of
the one or more components, wherein the analysis unit is further configured to add: the one or
30 more critical components in a series connection in a logical group, and the one or more noncritical
components in a parallel connection; and a generator unit connected at least to the
identifier unit, the generator unit is configured to prepare, a target reliability block diagram
(RBD) based on the adding, wherein the analysis unit is further configured to: determine, a
reliability value of the radio product for a target time period based on the target RBD, and
6
perform, the reliability analysis of the radio product based on the reliability value of the radio
product, and receive, by the transceiver unit, a result of the reliability analysis of the radio
product associated with the reliability analysis request.
Yet another aspect of the present disclosure may relate to 5 a non-transitory computer readable
storage medium storing instructions for performing a reliability analysis of a radio product, the
instructions include executable code which, when executed by a one or more units of a system,
causes: an analysis unit of the system to group, one or more components of the radio product,
based on a functionality of the one or more components; an identifier unit of the system to
10 identify, at least one of one or more critical components and one or more non-critical
components based at least on the grouping of the one or more components, the analysis unit is
to add: the one or more critical components in a series connection in a logical group, and the
one or more non-critical components in a parallel connection; and a generator unit of the system
to prepare, a target reliability block diagram (RBD) based on the adding, the analysis unit
15 configured to determine, a reliability value of the radio product for a target time period based
on the target RBD, and perform, the reliability analysis of the radio product based on the
reliability value of the radio product.
20 OBJECTS OF THE INVENTION
Some of the objects of the present disclosure, which at least one embodiment disclosed herein
satisfies are listed herein below.
25 It is an object of the present disclosure to provide a system and a method for performing a
reliability analysis of a radio product.
It is another object of the present disclosure to provide a solution to identify critical components
in the radio product for reliability calculations.
30
It is another object of the present disclosure to provide a solution that optimizes the failure rate
to obtain the best-case results by incorporating all the components in the radio product.
7
It is yet another object of the present disclosure to provide a solution to identify the scope of
parallel connection in reliability block diagram to achieve best reliability value of the radio
product.
It is yet another object of the present 5 disclosure to provide a solution to identify critical
components of the radio product which reduces the failure turnaround time and helps in saving
the Capital expenditures (CAPEX).
DESCRIPTION OF THE DRAWINGS
10
The accompanying drawings, which are incorporated herein, and constitute a part of this
disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which
like reference numerals refer to the same parts throughout the different drawings. Components
in the drawings are not necessarily to scale, emphasis instead being placed upon clearly
15 illustrating the principles of the present disclosure. Also, the embodiments shown in the figures
are not to be construed as limiting the disclosure, but the possible variants of the method and
system according to the disclosure are illustrated herein to highlight the advantages of the
disclosure. It will be appreciated by those skilled in the art that disclosure of such drawings
includes disclosure of electrical components or circuitry commonly used to implement such
20 components.
FIG. 1 illustrates an exemplary block diagram of a computing device upon which the features
of the present disclosure may be implemented in accordance with
exemplary implementation of the present disclosure.
25
FIG. 2 illustrates an exemplary block diagram of a system for performing a reliability analysis
of a radio product, in accordance with exemplary implementations of the present disclosure.
FIG. 3 illustrates a method flow diagram for performing a reliability analysis of a radio product
30 in accordance with exemplary implementations of the present disclosure.
FIG. 4 illustrates an exemplary method flow diagram for prediction of a failure rate and
reliability calculation of a radio product, in accordance with exemplary implementations of the
present disclosure.
8
FIG. 5 illustrates an exemplary block diagram of a Radio Frequency Front End board (RF FEB)
sub-system division for reliability analysis.
FIG. 6 illustrates an exemplary block diagram of an 5 Integrated Baseband and Transceiver
Board (IBTB) sub-system division for reliability analysis.
The foregoing shall be more apparent from the following more detailed description of the
disclosure.
10
DETAILED DESCRIPTION
In the following description, for the purposes of explanation, various specific details are set
forth in order to provide a thorough understanding of embodiments of the present disclosure.
15 It will be apparent, however, that embodiments of the present disclosure may be practiced
without these specific details. Several features described hereafter may each be used
independently of one another or with any combination of other features. An individual feature
may not address any of the problems discussed above or might address only some of the
problems discussed above.
20
The ensuing description provides exemplary embodiments only, and is not intended to limit
the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of
the exemplary embodiments will provide those skilled in the art with an enabling description
for implementing an exemplary embodiment. It should be understood that various changes may
25 be made in the function and arrangement of elements without departing from the spirit and
scope of the disclosure as set forth.
Specific details are given in the following description to provide a thorough understanding of
the embodiments. However, it will be understood by one of ordinary skill in the art that the
30 embodiments may be practiced without these specific details. For example, circuits, systems,
processes, and other components may be shown as components in block diagram form in order
not to obscure the embodiments in unnecessary detail.
9
Also, it is noted that individual embodiments may be described as a process which is depicted
as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block diagram.
Although a flowchart may describe the operations as a sequential process, many of the
operations may be performed in parallel or concurrently. In addition, the order of the operations
may be re-arranged. A process is terminated when its 5 operations are completed but could have
additional steps not included in a figure.
The word “exemplary” and/or “demonstrative” is used herein to mean serving as an example,
instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not
10 limited by such examples. In addition, any aspect or design described herein as “exemplary”
and/or “demonstrative” is not necessarily to be construed as preferred or advantageous over
other aspects or designs, nor is it meant to preclude equivalent exemplary structures and
techniques known to those of ordinary skill in the art. Furthermore, to the extent that the terms
“includes,” “has,” “contains,” and other similar words are used in either the detailed description
15 or the claims, such terms are intended to be inclusive—in a manner similar to the term
“comprising” as an open transition word—without precluding any additional or other elements.
As used herein, a “processing unit” or “processor” or “operating processor” includes one or
more processors, wherein processor refers to any logic circuitry for processing instructions. A
20 processor may be a general-purpose processor, a special purpose processor, a conventional
processor, a digital signal processor, a plurality of microprocessors, one or more
microprocessors in association with a (Digital Signal Processing) DSP core, a controller, a
microcontroller, Application Specific Integrated Circuits, Field Programmable Gate Array
circuits, any other type of integrated circuits, etc. The processor may perform signal coding
25 data processing, input/output processing, and/or any other functionality that enables the
working of the system according to the present disclosure. More specifically, the processor or
processing unit is a hardware processor.
As used herein, “a user equipment”, “a user device”, “a smart-user-device”, “a smart-device”,
30 “an electronic device”, “a mobile device”, “a handheld device”, “a wireless communication
device”, “a mobile communication device”, “a communication device” may be any electrical,
electronic and/or computing device or equipment, capable of implementing the features of the
present disclosure. The user equipment/device may include, but is not limited to, a mobile
phone, smart phone, laptop, a general-purpose computer, desktop, personal digital assistant,
10
tablet computer, wearable device or any other computing device which is capable of
implementing the features of the present disclosure. Also, the user device may contain at least
one input means configured to receive an input from unit(s) which are required to implement
the features of the present disclosure.
5
As used herein, “storage unit” or “memory unit” refers to a machine or computer-readable
medium including any mechanism for storing information in a form readable by a computer or
similar machine. For example, a computer-readable medium includes read-only memory
(“ROM”), random access memory (“RAM”), magnetic disk storage media, optical storage
10 media, flash memory devices or other types of machine-accessible storage media. The storage
unit stores at least the data that may be required by one or more units of the system to perform
their respective functions.
As used herein “interface” or “user interface refers to a shared boundary across which two or
15 more separate components of a system exchange information or data. The interface may also
be referred to a set of rules or protocols that define communication or interaction of one or
more modules or one or more units with each other, which also includes the methods, functions,
or procedures that may be called.
20 All modules, units, components used herein, unless explicitly excluded herein, may be software
modules or hardware processors, the processors being a general-purpose processor, a special
purpose processor, a conventional processor, a digital signal processor (DSP), a plurality of
microprocessors, one or more microprocessors in association with a DSP core, a controller, a
microcontroller, Application Specific Integrated Circuits (ASIC), Field Programmable Gate
25 Array circuits (FPGA), any other type of integrated circuits, etc.
As used herein the transceiver unit include at least one receiver and at least one transmitter
configured respectively for receiving and transmitting data, signals, information, or a
combination thereof between units/components within the system and/or connected with the
30 system.
Further, in accordance with the present disclosure, it is to be acknowledged that the
functionality described for the various the components/units can be implemented
interchangeably. While specific embodiments may disclose a particular functionality of these
11
units for clarity, it is recognized that various configurations and combinations thereof are
within the scope of the disclosure. The functionality of specific units as disclosed in the
disclosure should not be construed as limiting the scope of the present disclosure.
Consequently, alternative arrangements and substitutions of units, provided they achieve the
intended functionality described he 5 rein, are considered to be encompassed within the scope of
the present disclosure.
As discussed in the background section, that reliability is a fundamental attribute that is crucial
for the safe and profitable operation of any product. Further, an accurate or enhanced reliability
10 involves analysing one or more failure mechanisms and quantifying associated possibilities to
recognize resolutions and one or more maintenance actions. Also, the preventive measures
prevent the failures and mitigate their consequences, impacting performance, costeffectiveness,
safety, and production yield. However, existing solutions often fail to identify
the most and least reliable sections of the product and fail to optimize failure rates by
15 incorporating all components. The currently known solutions have several shortcomings. The
present disclosure aims to overcome the above-mentioned and other existing problems in this
field of technology by providing method and system performing a reliability analysis of a radio
product that is able to identify one or more critical components for reliability calculations,
optimize the failure rate to obtain the best-care results by incorporating all the components, and
20 identify a scope of parallel connections to achieve best reliability. Additionally, the present
disclosure groups one or more components of the radio product based on their functionality,
identifies critical and non-critical components within the groups and configures the groups
accordingly. Further, the present disclosure provides a configuration in which the one or more
critical components are connected in series, while non-critical components are connected in
25 parallel, for generating a target reliability block diagram (RBD). Additionally, a reliability
value of the product for a pre-defined time period is then determined based on this RBD, that
facilitates the performance of reliability analysis.
Further, the present disclosure provides a solution that tunes the one or more values of failure
30 rates to achieve one or more actual values and identifies a way to use the possibility of parallel
systems in RBD for achieving better values. Also, the present disclosure helps in identifying
one or more lowest and highest reliable sections of the radio product.
12
FIG. 1 illustrates an exemplary block diagram of a computing device [1000] (or as used herein
as computer system [1000]) upon which the features of the present disclosure may be
implemented in accordance with exemplary implementation of the present disclosure. In an
implementation, the computing device [1000] may also implement a method for performing a
reliability analysis of a radio product 5 utilising the system. In another implementation, the
computing device [1000] itself implements the method for performing the reliability analysis
of the radio product using one or more units configured within the computing device [1000],
wherein said one or more units are capable of implementing the features as disclosed in the
present disclosure.
10
The computing device [1000] may include a bus [1002] or other communication mechanism
for communicating information, and a hardware processor [1004] coupled with bus [1002] for
processing information. The hardware processor [1004] may be, for example, a general purpose
microprocessor. The computer system [1000] may also include a main memory [1006], such
15 as a random access memory (RAM), or other dynamic storage device, coupled to the bus [1002]
for storing information and instructions to be executed by the processor [1004]. The main
memory [1006] also may be used for storing temporary variables or other intermediate
information during execution of the instructions to be executed by the processor [1004]. Such
instructions, when stored in non-transitory storage media accessible to the processor [1004],
20 render the computer system [1000] into a special-purpose machine that is customized to
perform the operations specified in the instructions. The computer system [1000] further
includes a read only memory (ROM) [1008] or other static storage device coupled to the bus
[1002] for storing static information and instructions for the processor [1004].
25 A storage device [1010], such as a magnetic disk, optical disk, or solid-state drive is provided
and coupled to the bus [1002] for storing information and instructions. The computer system
[1000] may be coupled via the bus [1002] to a display [1012], such as a cathode ray tube (CRT),
Liquid crystal Display (LCD), Light Emitting Diode (LED) display, Organic LED (OLED)
display, etc. for displaying information to a computer user. An input device [1014], including
30 alphanumeric and other keys, touch screen input means, etc. may be coupled to the bus [1002]
for communicating information and command selections to the processor [1004]. Another type
of user input device may be a cursor controller [1016], such as a mouse, a trackball, or cursor
direction keys, for communicating direction information and command selections to the
processor [1004], and for controlling cursor movement on the display [1012]. This input device
13
typically has two degrees of freedom in two axes, a first axis (e.g., x) and a second axis (e.g.,
y), that allow the device to specify positions in a plane.
The computer system [1000] may implement the techniques described herein using customized
hard-wired logic, one or more ASICs or FPGAs, 5 firmware and/or program logic which in
combination with the computer system [1000] causes or programs the computer system [1000]
to be a special-purpose machine. According to one implementation, the techniques herein are
performed by the computer system [1000] in response to the processor [1004] executing one
or more sequences of one or more instructions contained in the main memory [1006]. Such
10 instructions may be read into the main memory [1006] from another storage medium, such as
the storage device [1010]. Execution of the sequences of instructions contained in the main
memory [1006] causes the processor [1004] to perform the process steps described herein. In
alternative implementations of the present disclosure, hard-wired circuitry may be used in place
of or in combination with software instructions.
15
The computer system [1000] also may include a communication interface [1018] coupled to
the bus [1002]. The communication interface [1018] provides a two-way data communication
coupling to a network link [1020] that is connected to a local network [1022]. For example, the
communication interface [1018] may be an integrated services digital network (ISDN) card,
20 cable modem, satellite modem, or a modem to provide a data communication connection to a
corresponding type of telephone line. As another example, the communication interface [1018]
may be a local area network (LAN) card to provide a data communication connection to a
compatible LAN. Wireless links may also be implemented. In any such implementation, the
communication interface [1018] sends and receives electrical, electromagnetic, or optical
25 signals that carry digital data streams representing various types of information.
The computer system [1000] can send messages and receive data, including program code,
through the network(s), the network link [1020] and the communication interface [1018]. In
the Internet example, a server [1030] might transmit a requested code for an application
30 program through the Internet [1028], the ISP [1026], the local network [1022], the host [1024]
and the communication interface [1018]. The received code may be executed by the processor
[1004] as it is received, and/or stored in the storage device [1010], or other non-volatile storage
for later execution.
14
Referring to FIG. 2, an exemplary block diagram of a system [200] for performing a reliability
analysis of a radio product is shown, in accordance with the exemplary implementations of the
present disclosure. The system comprises at least one analysis unit [202], at least one identifier
unit [204] and at least one generator unit [206]. Also, all of the components/ units of the system
[200] are assumed to be connected to each 5 other unless otherwise indicated below. As shown
in the figures all units shown within the system should also be assumed to be connected to each
other. Also, in FIG. 2 only a few units are shown, however, the system [200] may comprise
multiple such units or the system [200] may comprise any such numbers of said units, as
required to implement the features of the present disclosure. Further, in an implementation, the
10 system [200] may be present in a user device to implement the features of the present
disclosure. The system [200] may be a part of the user device / or may be independent of but
in communication with the user device (may also referred herein as a UE). In another
implementation, the system [200] may reside in a server or a network entity. In yet another
implementation, the system [200] may reside partly in the server/ network entity and partly in
15 the user device.
The system [200] is configured for performing the reliability analysis of the radio product, with
the help of the interconnection between the components/units of the system [200].
20 In order to perform the reliability analysis of the radio product, the analysis unit [202] is
configured to group one or more components of the radio product, based on a functionality of
the one or more components.
The present disclosure encompasses that the radio product refers to a device that utilize radio
25 frequency technology for communication purposes such as radios, a handheld communication
devices, a Wireless Fidelity (Wi-Fi) network device, a Bluetooth device, a broadcasting device
like receivers, antennas and alike.
The present disclosure encompasses that the one or more components include but not limited
30 to transmitters, receivers, antennas, power supplies.
The identifier unit [204] is connected at least to the analysis unit [202] and the identifier unit
[204] being configured to identify, at least one of one or more critical components and one or
more non-critical components based at least on the grouping of the one or more components.
15
The present disclosure encompasses that the one or more critical components in the radio
product are those whose failure significantly impacts functionality or safety of the radio
product, such as the transmitters, the receivers, the antennas, and the power supplies the radio
product. The one or more non-critical compon 5 ents have less severe consequences on the radio
product if they fail, such as a secondary circuitry of the radio product.
The present disclosure encompasses that the identifier unit [204] is further configured to
identify one or more target components based on the reliability analysis of the radio product.
10
The present disclosure encompasses that the one or more target components may include the
one or more critical components that are prone to failure or crucial for maintaining integrity
and functionality of the radio product.
15 The analysis unit [202] is further configured to add the one or more critical components in a
series connection in a logical group, and the one or more non-critical components in a parallel
connection.
The present disclosure encompasses that the one or more critical components are irreplaceable
20 by one or more other components of the radio product.
The present disclosure encompasses that the logical group refers to a group of components that
are grouped together based on a functionality of the components or a relationship of the
components within the radio product. For example, in the radio product, one or more
25 components responsible for signal processing may be grouped together in a logical group.
The generator unit [206] is connected at least to the identifier unit [204] and the generator unit
[206] is configured to prepare a target reliability block diagram (RBD) based on the adding.
Further, the analysis unit [202] is configured to determine a reliability value of the radio product
30 for a target time period based on the target RBD. Furthermore, the analysis unit [202] is
configured to perform the reliability analysis of the radio product based on the reliability value
of the radio product.
16
The present disclosure encompasses that RBD is a schematic representation of the reliability
structure of the radio product which depicts a connection between the one or more components
of the radio product and an overall reliability of the radio product.
The present disclosure encompasses that the RBD 5 is prepared by a RBD method which is a
graphical technique used to model and analyze the reliability of a radio product by using visual
representation of a structure of the radio product. The RBD includes one or more blocks which
represent a component or a subsystem which include a failure rate of the component or the
subsystem. Thereafter, the one or more blocks are arranged in a series configuration or a
10 parallel configuration depending on the structure of the radio product. In the series
configuration of the RBD the overall reliability of the radio product is calculated by multiplying
a reliability of all the components together. Whereas in parallel configuration overall reliability
of the radio product is calculated by considering a reliability of each component and applying
a parallel reliability rule, which involves summing individual reliabilities and subtracting a
15 product of their probabilities of failure, to attain a good reliability value of the radio product.
The present disclosure encompasses that reliability values represent a probability of the radio
product operating successfully without failure over the specified time period. Further the target
time period refers to a specific duration for which the reliability of the radio product is
20 evaluated. For instance, the target time period may be an expected operational lifespan of the
radio product, or any other relevant time frame chosen for the reliability analysis of the radio
product.
The present disclosure encompasses that the analysis unit [202] being further configured to set,
25 a temperature profile for the one or more components of the radio product. The temperature
profile for the one or more components is set to indicate a failure rate of the one or more
components due to a temperature condition.
For instance, in the radio product, a transmitter module is an important component of the radio
30 product, then the analysis unit [202] may set a temperature profile for the transmitter module
which indicates a change in failure rate of the transmitter module due to a temperature condition
associated with the transmitter module based on the variations in temperature. The temperature
profile signifies that the failure rate of the transmitter module increases substantially when the
temperature exceeds a certain threshold, such as 50 degrees Celsius. Below the threshold, the
17
failure rate might be relatively low, but as the temperature rises above the threshold, the failure
rate may increase rapidly.
The present disclosure encompasses that the identifier unit [204] is further configured to
identify, one of a successful identification of a predetermined 5 target failure rate for the one or
more components and an unsuccessful identification of the predetermined target failure rate for
the one or more components.
The present disclosure encompasses that the successful identification of predetermined target
10 failure rate occurs when the identifier unit [204] identifies the one or more components of the
radio product that meet the predetermined target failure rate or in an event the one or more
component’s failure rates align with a desired level of reliability for the radio product.
The present disclosure encompasses that the unsuccessful identification of the predetermined
15 target failure rate occurs when the identifier unit [204] determines that one or more components
do not meet the predetermined target failure rate, which in other word means that the one or
more components’ failure rates are either higher or lower than the desired level of reliability
specified for the radio product.
20 The present disclosure encompasses that the analysis unit [202] is further configured to predict,
using one or more reliability prediction standard techniques, a target failure rate for the one or
more components in an event of the unsuccessful identification of the predetermined target
failure rate for the one or more components and determine, a worst-case failure rate for the
radio product based on one of the predetermined target failure rate and the target failure rate.
25
For instance, in the event of an unsuccessful identification of the predetermined target failure
rate for one or more components, the analysis unit [202] utilizes one or more reliability
prediction standard techniques to forecast the target failure rate. The one or more reliability
prediction standard techniques may involve one or more statistical modeling techniques, one
30 or more historical data analysis techniques, or other methods to estimate a probability of the
one or more components failure.
For instance, once the target failure rate is predicted, the analysis unit [202] evaluates the
reliability of the radio product by determining the worst-case failure rate for the radio product.
18
The determination of the worst-case failure rate is based on either the predetermined target
failure rate or the predicted target failure rate, depending on which of the predetermined target
failure rate or the predicted target failure rate is more critical for measuring the reliability of
the radio product.
5
The present disclosure encompasses that the predetermined target failure rate is one of a
predetermined mean time between failure (MTBF) rate and a predetermined failure rate.
Further, the predetermined target failure rate may be determined based on a vendor input.
10 The present disclosure encompasses that the worst-case failure rate for the radio product is
determined based on one of an addition of the predetermined target failure rate for the one or
more components and an addition of the target failure rate for the one or more components.
The present disclosure encompasses that the MTBF is a measure of an expected time between
15 failures for the component of the radio product or the radio product. The MTBF signifies an
average lifespan of the component or the radio product before actual failure may occur. The
predetermined MTBF rate specified by the vendor indicates the reliability expectation for the
one or more components of the radio product in terms of time.
20 The present disclosure encompasses that the predetermined failure rate refers to the rate at
which the one or more components are expected to fail within a given period. The
predetermined failure rate represents the probability of the or more components failing per unit
of time. The predetermined failure rate specified by the vendor indicates the reliability
expectation for the one or more components of the radio product in terms of failure probability.
25
The present disclosure encompasses that the analysis unit [202] is further configured to set a
duty cycle of the one or more components of the radio product.
For instance, the analysis unit [202] is configured to establish the duty cycle for the one or
30 more components of the radio product, wherein the duty cycle refers to a ratio of time that the
one or more components is active (or operating) to a total time of its operation cycle. By setting
the duty cycle, the analysis unit [202] determines a frequency and a time consumed associated
with each component operation within a given time period.
19
The system [200] calculates the reliability of the radio product which improve a production
yield, reduces a turnaround time in on-field issue debugging by identifying one or more noncritical
or lower reliable elements in the radio product, which enable timely debugging and
reducing the Capital expenditures (CAPEX) of an organization.
5
Referring to FIG. 3, an exemplary method flow diagram [300] for performing a reliability
analysis of a radio product, in accordance with exemplary implementations of the present
disclosure is shown. In an implementation the method [300] is performed by the system [200].
Also, as shown in FIG. 3, the method [300] starts at step [302].
10
At step [304], the method [300] comprises grouping, by an analysis unit [202], one or more
components of the radio product, based on a functionality of the one or more components.
The present disclosure encompasses that the radio product refers to a device that utilize radio
15 frequency technology for communication purposes such as radios, a handheld communication
devices, a Wireless Fidelity (Wi-Fi) network device, a Bluetooth device, a broadcasting device
like receivers, antennas and alike.
The present disclosure encompasses that the one or more components include but not limited
20 to transmitters, receivers, antennas, power supplies.
The present disclosure encompasses that the method further comprises setting, by the analysis
unit [202], a duty cycle of the one or more components of the radio product.
25 For instance, the analysis unit [202] establishes the duty cycle for the one or more components
of the radio product, wherein the duty cycle refers to a ratio of time that the one or more
components is active (or operating) to a total time of its operation cycle. By setting the duty
cycle, the analysis unit [202] determines a frequency and a time consumed associated with each
component operation within a given time period.
30
At step [306], the method [300] comprises identifying, by an identifier unit [204], at least one
of one or more critical components and one or more non-critical components based at least on
the grouping of the one or more components.
20
The present disclosure encompasses that the one or more critical components in the radio
product are those whose failure significantly impacts functionality or safety of the radio
product, such as the transmitters, the receivers, the antennas, and the power supplies the radio
product. The one or more non-critical components have less severe consequences on the radio
product if they fa 5 il, like a secondary circuitry of the radio product.
The present disclosure encompasses that the one or more critical components are irreplaceable
by one or more other components of the radio product.
10 At step [308], the method [300] comprises adding, by the analysis unit [202] the one or more
critical components in a series connection in a logical group, and the one or more non-critical
components in a parallel connection.
The present disclosure encompasses that the one or more critical components are irreplaceable
15 by one or more other components of the radio product.
The present disclosure encompasses that the logical group refers to a group of components that
are grouped together based on a functionality of the components or a relationship of the
components within the radio product. For example, in the radio product, one or more
20 components responsible for signal processing may be grouped together in a logical group.
At step [310], the method [300] comprises preparing, by a generator unit [206], a target
reliability block diagram (RBD) based on the adding.
25 The present disclosure encompasses that RBD is a schematic representation of the reliability
structure of the radio product which depicts a connection between the one or more components
of the radio product and an overall reliability of the radio product.
The present disclosure encompasses that the RBD is prepared by a RBD method which is a
30 graphical technique used to model and analyze the reliability of a radio product by using visual
representation of a structure of the radio product. The RBD includes one or more blocks which
represent a component or a subsystem which include a failure rate of the component or the
subsystem. Thereafter the one or more blocks are arranged in a series configuration or a parallel
configuration depending on the structure of the radio product. In the series configuration of the
21
RBD the overall reliability of the radio product is calculated by multiplying a reliability of all
the components together. Whereas in parallel configuration overall reliability of the radio
product is calculated by considering a reliability of each component and applying a parallel
reliability rule, which involves summing individual reliabilities and subtracting a product of
their probabilities of 5 failure, to attain a good reliability value of the radio product.
The present disclosure encompasses that the one or more target components may include the
one or more critical components that are prone to failure or crucial for maintain integrity and
functionality of the radio product, in other words, one or more target components are those
10 components that are contributing to a high failure rate of the radio product.
At step [312], the method [300] comprises determining, by the analysis unit [202], a reliability
value of the radio product for a target time period based on the target RBD.
15 The present disclosure encompasses that reliability values represent a probability of the radio
product operating successfully without failure over the specified time period. Further the target
time period refers to a specific duration for which the reliability of the radio product is
evaluated. For instance, the target time period may be an expected operational lifespan of the
radio product, or any other relevant time frame chosen for the reliability analysis of the radio
20 product.
At step [314], the method [300] comprises performing, by the analysis unit [202], the reliability
analysis of the radio product based on the reliability value of the radio product.
25 The present disclosure encompasses that the method further comprising setting, by the analysis
unit [302], a temperature profile for the one or more components of the radio product. The
temperature profile for the one or more components is set to indicate a failure rate of the one
or more components due to a temperature condition.
30 The present disclosure encompasses that the method further comprising identifying, by the
identifier unit [204], one of a successful identification of a predetermined target failure rate for
the one or more components and an unsuccessful identification of the predetermined target
failure rate for the one or more components.
22
The present disclosure encompasses that the successful identification of predetermined target
failure rate occurs when the identifier unit [204] identifies the one or more components of the
radio product that meet the predetermined target failure rate or in an event the one or more
component’s failure rates align with a desired level of reliability for the radio product.
5
The present disclosure encompasses that the unsuccessful identification of the predetermined
target failure rate occurs when the identifier unit [204] determines that one or more components
do not meet the predetermined target failure rate, which in other word means that the one or
more components’ failure rates are either higher or lower than the desired level of reliability
10 specified for the radio product.
The present disclosure encompasses that the method further comprising predicting, by the
analysis unit [202] using one or more reliability prediction standard techniques, a target failure
15 rate for the one or more components in an event of the unsuccessful identification of the
predetermined target failure rate for the one or more components.
The present disclosure encompasses that the method further comprising determining, by the
analysis unit [202], a worst-case failure rate for the radio product based on one of the
20 predetermined target failure rate and the target failure rate.
For instance, in the radio product, a transmitter module is an important component of the radio
product, then the analysis unit [202] may set a temperature profile for the transmitter module
which indicates a change in failure rate of the transmitter module due to a temperature condition
25 associated with the transmitter module based on the variations in temperature. The temperature
profile signifies that the failure rate of the transmitter module increases substantially when the
temperature exceeds a certain threshold, such as 50 degrees Celsius. Below the threshold, the
failure rate might be relatively low, but as the temperature rises above the threshold, the failure
rate may increase rapidly.
30
For instance, once the target failure rate is predicted, the analysis unit [202] evaluates the
reliability of the radio product by determining the worst-case failure rate for the radio product.
The determination of the worst-case failure rate is based on either the predetermined target
failure rate or the predicted target failure rate, depending on which of the predetermined target
23
failure rate or the predicted target failure rate is more critical for measuring the reliability of
the radio product.
The present disclosure encompasses that the predetermined target failure rate is one of a
predetermined mean time between failure (MTBF) rate 5 and a predetermined failure rate.
Further, the predetermined target failure rate may be determined based on a vendor input.
The present disclosure encompasses that the worst-case failure rate for the radio product is
determined based on one of an addition of the predetermined target failure rate for the one or
10 more components, and an addition of the target failure rate for the one or more components.
The present disclosure encompasses that the MTBF is a measure of an expected time between
failures for the component of the radio product or the radio product. The MTBF signifies an
average lifespan of the component or the radio product before actual failure may occur. The
15 predetermined MTBF rate specified by the vendor indicates the reliability expectation for the
one or more components of the radio product in terms of time.
The present disclosure encompasses that the method further comprises identifying by the
processing identifier unit [204], one or more target components based on the reliability analysis
20 of the radio product. The present disclosure encompasses that one or more target components
are those components that are contributing to a high failure rate of the radio product.
The method [300] calculates the reliability of the radio product which improve a production
yield, also reduces a turnaround time in on-field issue debugging by identifying one or more
25 non-critical or lower reliable elements in the radio product, which enable timely debugging and
reducing the Capital expenditures (CAPEX) of an organization.
Referring to FIG. 4, an exemplary method flow diagram [400] for prediction of a failure rate
and reliability calculation of a radio product, in accordance with exemplary implementations
30 of the present disclosure is shown. In an implementation the method [400] is performed by the
system [200]. Further, in an implementation, the system [200] may be present in a server device
to implement the features of the present disclosure.
24
Also, as shown in FIG. 4, Step S1 involves defining a temperature profile for a failure rate of
the radio product. Each radio product function across various environmental conditions, with
operation occurring in one or more fixed conditions.
In step S2, a MTBF (Mean Time Between Failures) 5 provided by the vendor is recorded. Each
component go through testing and validation by a manufacturing company i.e. manufacturers.
The manufacturers conduct a reliability analysis and calculate one or more MTBF values and
failure rates.
10 Further, Step S3 involves utilization of one or more standard prediction methods to predict the
failure rate of one or more components. If the manufacturer lacks MTBF or failure rate data
for a component, these values may be computed using one or more standard reliability
prediction methods. The failure rates for each component are calculated by selecting one or
more appropriate prediction standards.
15
Further, Step S4 involves calculation of a predicted failure rate the of one or more components.
The worst-case failure rate of the of one or more components or the radio product i.e., a system
is determined by adding the failure rates of each component in the radio product, assuming all
parts are in series.
20
Further, at step S5, the failure rate of the component is tuned by setting a duty cycle. The step
S5 is a crucial step as it helps in identifying critical components. Each component’s
contribution is different depending on the use case, for example, a debugging interface of the
radio product will not be functional for most period of time. In such cases, components’
25 contribution in the failure reduces significantly and this is handled by assigning functional duty
cycle to the component.
Thereafter, all possible scopes of tuning are terminated and the method [400] terminates after
completion of step S5.
30
At Step S6, the one or more components are being grouped for a Reliability Block Diagram
(RBD). Further one or more opportunities to group components based on functionality are
being identified and categorized accordingly.
25
At Step S7, the one or more critical components are being identified. Further, the one or more
critical components are being filtered out based on functionality that cannot be substituted by
any other section of the system.
At Step S8, the one or more critical components are 5 being arranged in series within logical
group. In the RBD, the one or more critical components are being arranged in series to aid in
the identification of critical failures. The one or more components are being organized into
different logical groups based on a functionality of the one or more components to recognise
their reliability and potential impact on the system failure.
10
At Step S9, the one or more components suitable for a parallel connections are being identified.
The identification of the one or more components suitable for the parallel connections play a
crucial role in reliability prediction. For instance, redundant functionalities are being kept in a
parallel connection, while discrete components like capacitors placed in shunt for a voltage rail
15 are being connected in the parallel connection.
At Step S10, the identified one or more components are being integrated into the parallel
connections. The one or more identified components from step S9 are being incorporated into
parallel connections in the RBD, enhancing reliability within a given time period.
20
At Step S11, all components are being consolidated into a single RBD. The RBD include one
or more logical blocks containing one or more components which are being merged into the
single RBD.
25 At Step S12, one or more reliability values are being calculated for the required time period:
The following formulas are being utilized to compute system reliability:
Series elements- R series system= Ra x Rb x…..
Parallel elements= R Parallel system= 1- (1-Ra) x (1- Rb) x…..
30 where Ra and Rb are the reliability values of individual elements.
At Step S13, one or more critical sections contributing to high failure rates are being identified.
After calculating one or more critical sub-sections, the one or more parts of the radio product
with the lowest reliability are identified. For Example, if the one or more critical sub-sections
26
made on the one or more sections of design like one or more power supplies are grouped
together and a reliability value of that sub-section is lowest, a manufacturer shall focus on a
power supply section.
At Step S14, one or more parallel sections are being 5 added or parts with similar functionality
and lower MTBF values are being replaced. The identified one or more critical sections in step
13 is being analysed for possible scope of improvement, which may also include replacement
of the lower reliable part, or a parallel combination may add to the system. For example, in the
power supply section identified in step S13, a manufacturer needs to find the component with
10 higher reliability and replace the part. Further, improvements in the one or more reliability
values are being checked, and step 13 and step 14 are being repeated to obtain the one or more
reliability values.
At step S15, the one or more critical sections are identified, and results are published. After the
15 calculations, if the reliability values meet the organization’s requirements and industrial
standards, the lowest reliable sections of the product are identified. This facilitates the detection
of any observed failures.
The method and system for performing a reliability analysis of a radio product may be utilized
20 for calculating reliability of an outdoor small cell (ODSC). The architecture of ODSC is such
that it comprises of two main functional blocks namely an Integrated Baseband and Transceiver
Board (IBTB) and a radio frequency Front End board (RF FEB) [500].
As mentioned in Step S6 the components were grouped based on the functionality namely the
25 IBTB and the RF FEB. Further in the IBTB and the RF FEB [600] there were possibility of
identifying more groups based on functionality. For example, in the RF FEB [500] the groups
were created based on the functional section as shown in FIG. 5. The RF FEB board comprises
a power supply and digital circuit assembly [502], a transmitter (TX) and Feedback (FB) chain
[504], and a receiver (RX) chain [506].
30
Further in the project components were tuned based on the operation time such as in a Time
Division Duplex (TDD) system duty cycle was assigned on the TX and FB chain [504] and a
plurality of RX chain components [506]. This doesn’t compromise on the effect of the
27
components reliability and in return gives a better reliability value. The reliability at the end of
5 years and 10 years are mentioned in the Table 1.
Table 1: Reliability Value of RF FEB on the basis of time period of operation
5
Time period Reliability Value
5 years 95.77%
10 years 91.73%
The method and system for performing a reliability analysis of the radio product may be
utilized for calculating reliability of an Integrated Baseband and Transceiver Board (IBTB)
10 board [600] as well. The one or more components of the IBTB were divided based on their
types. A tuning is done by assigning a duty cycle based on an operation period of a section of
a circuit of the IBTB. Further, one or more duty cycles may assigned to one or more interfaces
such as a Universal Serial Bus (USB), Flash memories. By using the connections shown in
FIG. 6, the RBD was formed and the reliability for the IBTB are mentioned in Table 2.
15
Table 2: Reliability Value of IBTB on the basis of time period of operation
Time Period Reliability Value
5 years 95.17%
10 years 90.57%
20 A non-transitory computer readable storage medium storing instructions for performing a
reliability analysis of a radio product, the instructions include executable code which, when
executed by a one or more units of a system, causes: an analysis unit [202] of the system to
group, one or more components of the radio product, based on a functionality of the one or
more components; an identifier unit [204] of the system to identify, at least one of one or more
25 critical components and one or more non-critical components based at least on the grouping of
the one or more components, the analysis unit [202] is to add: the one or more critical
28
components in a series connection in a logical group, and the one or more non-critical
components in a parallel connection; and a generator unit [206] of the system to prepare, a
target reliability block diagram (RBD) based on the adding, the analysis unit [202] configured
to determine, a reliability value of the radio product for a target time period based on the target
RBD, and perform, the reliability analysis of the radio product 5 based on the reliability value of
the radio product.
The present disclosure further discloses a user equipment (UE) comprising a processor
connected to at least a transceiver unit, wherein the UE is configured to transmit, by the
10 transceiver unit, a reliability analysis request to a system, wherein the system further comprises:
an analysis unit [202], configured to group, one or more components of the radio product, based
on a functionality of the one or more components; o an identifier unit [204] connected at least
to the analysis unit [202], the identifier unit [204] being configured to identify, at least one of
one or more critical components and one or more non-critical components based at least on the
15 grouping of the one or more components, wherein the analysis unit [202] is further configured
to add: the one or more critical components in a series connection in a logical group, and the
one or more non-critical components in a parallel connection; and a generator unit [206]
connected at least to the identifier unit [204], the generator unit [206] is configured to prepare,
a target reliability block diagram (RBD) based on the adding, wherein the analysis unit [202]
20 is further configured to: determine, a reliability value of the radio product for a target time
period based on the target RBD, and perform, the reliability analysis of the radio product based
on the reliability value of the radio product, and receive, by the transceiver unit, a result of the
reliability analysis of the radio product associated with the reliability analysis request.
25 For instance, the method and system of the present disclosure may be used in a
telecommunication company for ensuring the reliability of any radio product. Initially, an
information about all the components of the radio product is entered into the analysis unit [202].
The analysis unit [202] automatically groups all the components based on their functionality
within the radio product. Thereafter, the identifier unit [204] identifies one or more critical
30 components and one or more non-critical components based on the grouping. The one or more
critical components, essential for the radio product’s operation, are arranged in a series
connection within a logical group, while non-critical components, which provide additional
functionalities but are not essential, are arranged in a parallel connection. After identifying the
one or more components, the generator unit [206], generates a target reliability block diagram
29
(RBD) based on the arrangement of components. The RBD serves as a visual representation of
the structure of the radio product. Thereafter, the analysis unit [202] determine the reliability
value of the radio product for a specified time period using the target RBD. The analysis unit
[202] performs a reliability analysis based on the reliability value for assessing the product's
overall reliability and identifying potential areas 5 for improvement. Additionally, as part of the
analysis, a temperature profile is set for the components, indicating their failure rates under
different temperature conditions. The identifier unit [204] then determines whether the target
failure rate for the components is successfully identified. If not, the analysis unit [202] predicts
the target failure rate using reliability prediction techniques. Furthermore, the duty cycle is set
10 for the components, optimizing their performance and endurance within the radio product.
Throughout the process, input from vendors is considered to determine predetermined target
failure rates for the components. In cases where the predetermined rates are unavailable, the
system calculates worst-case failure rates based on various factors, ensuring a thorough
assessment of the reliability of the product. Finally, the identification unit [204] identifies target
15 components based on the reliability analysis, that guides in prioritizing improvements and
optimizations for future iterations of the radio product.
As is evident from the above, the present disclosure provides a technically advanced solution
for performing a reliability analysis of a radio product. The present solution helps an
20 organization to deliver a highly reliable product, which ensures better performance of the radio
products. Further, the present solution identifies one or more critical components of the radio
products which reduces a failure turnaround time and helps in saving the Capital expenditures
(CapEx). Further, the present solution optimizes the failure rate to obtain the best-case results
by incorporating all the components in the systems. Further, the present solution identifies a
25 scope of parallel connection in reliability block diagram (RBD) to achieve best reliability value
of the product. In addition to this, the present solution enhances the assessment of product
reliability for ensuring superior performance and longevity. Further, by accurately identifying
critical components, the present solution streamlines failure management processes, reducing
turnaround times and minimizing capital expenditures associated with repairs. Also, the present
30 solution also identifies one or more opportunities for parallel connections in reliability block
diagrams.
While considerable emphasis has been placed herein on the disclosed implementations, it will
be appreciated that many implementations can be made and that many changes can be made to
30
the implementations without departing from the principles of the present disclosure. These and
other changes in the implementations of the present disclosure will be apparent to those skilled
in the art, whereby it is to be understood that the foregoing descriptive matter to be
implemented is illustrative and non-limiting.
We Claim:
1. A method [300] for performing a reliability analysis of a radio product, the method
comprising:
- grouping, by an analysis unit [202], one or more components of the radio product, based on a functionality of the one or more components;
- identifying, by an identifier unit [204], at least one of one or more critical components and one or more non-critical components based at least on the grouping of the one or more components;
- adding, by the analysis unit [202]:
the one or more critical components in a series connection in a logical group,
and
the one or more non-critical components in a parallel connection;
- preparing, by a generator unit [206], a target reliability block diagram (RBD) based on the adding;
- determining, by the analysis unit [202], a reliability value of the radio product for a target time period based on the target RBD; and
- performing, by the analysis unit [202], the reliability analysis of the radio product based on the reliability value of the radio product.
2. The method [300] as claimed in claim 1, the method comprises:
- setting, by the analysis unit [202], a temperature profile for the one or more components of the radio product, wherein the temperature profile for the one or more components is set to indicate a failure rate of the one or more components due to a temperature condition,
- identifying, by the identifier unit [204], one of a successful identification of a predetermined target failure rate for the one or more components and an unsuccessful identification of the predetermined target failure rate for the one or more components,
- predicting, by the analysis unit [202] using one or more reliability prediction standard techniques, a target failure rate for the one or more components in an event of the unsuccessful identification of the predetermined target failure rate for the one or more components, and

- determining, by the analysis unit [202], a worst-case failure rate for the radio
product based on one of the predetermined target failure rate and the target failure
rate.
3. The method [300] as claimed in claim 2, the method further comprises setting, by the analysis unit [202], a duty cycle of the one or more components of the radio product.
4. The method [300] as claimed in claim 2, wherein the predetermined target failure rate is one of a predetermined mean time between failure (MTBF) rate and a predetermined failure rate, and the predetermined target failure rate is determined based on a vendor input.
5. The method [300] as claimed in claim 2, wherein the worst-case failure rate for the radio product is determined based on one of:

- an addition of the predetermined target failure rate for the one or more components, and
- an addition of the target failure rate for the one or more components.

6. The method [300] as claimed in claim 1, wherein the one or more critical components are irreplaceable by one or more other components of the radio product.
7. The method [300] as claimed in claim 1, the method further comprises identifying by the processing identifier unit [204], one or more target components based on the reliability analysis of the radio product.
8. A system [200] for performing a reliability analysis of a radio product, the system [100] comprising:

- an analysis unit [202], configured to group, one or more components of the radio product, based on a functionality of the one or more components;
- an identifier unit [204] connected at least to the analysis unit [202], the identifier unit [204] being configured to identify, at least one of one or more critical components and one or more non-critical components based at least on the grouping of the one or more components,
wherein the analysis unit [202] is further configured to add:
the one or more critical components in a series connection in a logical
group, and
the one or more non-critical components in a parallel connection; and

- a generator unit [206] connected at least to the identifier unit [204], the generator
unit [206] is configured to prepare, a target reliability block diagram (RBD) based
on the adding,
wherein the analysis unit [202] is further configured to:
determine, a reliability value of the radio product for a target time period based on the target RBD, and
perform, the reliability analysis of the radio product based on the reliability value of the radio product.
9. The system [200] as claimed in claim 8, wherein:
the analysis unit [202] being further configured to set, a temperature profile for the one or more components of the radio product, wherein the temperature profile for the one or more components is set to indicate a failure rate of the one or more components due to a temperature condition;
the identifier unit [204] being further configured to identify, one of a successful identification of a predetermined target failure rate for the one or more components and an unsuccessful identification of the predetermined target failure rate for the one or more components,
the analysis unit [202] is further configured to:
predict, using one or more reliability prediction standard techniques, a
target failure rate for the one or more components in an event of the
unsuccessful identification of the predetermined target failure rate for the one
or more components, and
determine, a worst-case failure rate for the radio product based on one
of the predetermined target failure rate and the target failure rate.
10. The system [200] as claimed in claim 9, wherein the analysis unit [202] is further configured to set a duty cycle of the one or more components of the radio product.
11. The system [200] as claimed in claim 9, wherein the predetermined target failure rate is one of a predetermined mean time between failure (MTBF) rate and a predetermined failure rate, and the predetermined target failure rate is determined based on a vendor input.
12. The system [200] as claimed in claim 9, wherein the worst-case failure rate for the radio product is determined based on one of:
- an addition of the predetermined target failure rate for the one or more components,
and

- an addition of the target failure rate for the one or more components.
13. The system [200] as claimed in claim 8, wherein the one or more critical components are irreplaceable by one or more other components of the radio product.
14. The system [200] as claimed in claim 8, wherein the identifier unit [204] is further configured to identify, one or more target components based on the reliability analysis of the radio product.
15. A user equipment (UE) comprising a processor connected to at least a transceiver unit, wherein the UE is configured to:
- transmit, by the transceiver unit, a reliability analysis request to a system,
wherein the system further comprises: o an analysis unit [202], configured to group, one or more components of the
radio product, based on a functionality of the one or more components; o an identifier unit [204] connected at least to the analysis unit [202], the identifier unit [204] being configured to identify, at least one of one or more critical components and one or more non-critical components based at least on the grouping of the one or more components,
o wherein the analysis unit [202] is further configured to add:
• the one or more critical components in a series connection in a logical group, and
• the one or more non-critical components in a parallel connection; and
o a generator unit [206] connected at least to the identifier unit [204], the generator unit [206] is configured to prepare, a target reliability block diagram (RBD) based on the adding,
o wherein the analysis unit [202] is further configured to:
• determine, a reliability value of the radio product for a
target time period based on the target RBD, and
▪ perform, the reliability analysis of the radio product based on the reliability value of the radio product, and
- receive, by the transceiver unit, a result of the reliability analysis of the radio
product associated with the reliability analysis request.