FORM 2
THE PATENTS ACT, 1970
(39 of 1970)
THE PATENTS RULES, 2003
COMPLETE
SPECIFICATION
(See section 10; rule 13)
TITLE OF THE INVENTION
SYSTEM AND METHOD FOR CREATING DYNAMIC THEMATIC LAYERS FOR NETWORK
ANALYSIS
APPLICANT
JIO PLATFORMS LIMITED
of Office-101, Saffron, Nr. Centre Point, Panchwati 5 Rasta, Ambawadi, Ahmedabad -
380006, Gujarat, India; Nationality : India
The following specification particularly describes
the invention and the manner in which
it is to be performed
2
SYSTEM AND METHOD FOR CREATING THEMATIC LAYERS FOR
NETWORK ANALYSIS
RESERVATION OF RIGHTS
[001] A portion of the disclosure of this patent 5 document contains
material, which is subject to intellectual property rights such as, but are not limited
to, copyright, design, trademark, Integrated Circuit (IC) layout design, and/or trade
dress protection, belonging to Jio Platforms Limited (JPL) or its affiliates (herein
after referred as owner). The owner has no objection to the facsimile reproduction
10 by anyone of the patent document or the patent disclosure, as it appears in the Patent
and Trademark Office patent files or records, but otherwise reserves all rights
whatsoever. All rights to such intellectual property are fully reserved by the owner.
TECHNICAL FIELD
[002] The present disclosure relates to wireless communications, and
15 specifically to a system and a method for improving network analysis by monitoring
and visualizing a network through thematic tools to maintain a problem-free and
optimized network.
DEFINITION
[003] As used in the present disclosure, the following terms are generally
20 intended to have the meaning as set forth below, except to the extent that the context
in which they are used to indicate otherwise.
[004] The expression ‘thematic layer’ used hereinafter in the specification
refers to a layer or a spatial representation of analyzed data of elements of the same
type. Each thematic layer focuses on a specific theme or attribute, such as user
25 density, site category, peak data rate, or any other spatially relevant characteristic.
These layers help users understand and explore different aspects of the
data/characteristics of a network that they are studying or managing. A map layer
3
can be visually altered to represent its associated data using thematic (theme wise).
Thematic layers play a crucial role in creating informative and insightful site maps,
enabling users to make informed decisions based on the spatial relationships and
patterns within the data.
[005] The expression ‘thematic map’ used hereinafter in 5 the specification
refers to a map that contains one or more thematic layers.
[006] These definitions are in addition to those expressed in the art.
BACKGROUND
[007] The following description of related art is intended to provide
10 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 that this section be used only
to enhance the understanding of the reader with respect to the present disclosure,
and not as admissions of prior art.
15 [008] Typically, identifying problematic sites or sectors in a specific
network area or region requires multiple procedures, such as downloading of realtime
data for various Key Performance Indicators (KPIs), parameters, and alarms
from different databases. Telecom operators follow the procedures for a prolonged
time, and often require using other applications to visualize problematic or issue20
causing sites. However, these procedures are time-consuming, error prone, and
requires using multiple steps to identify a root cause of network issues.
[009] There is, therefore, a need in the art for an improved mechanism to
analyse the network at a site or a sector level, by using a thematic layering approach,
to enable precise troubleshooting and problem addressing of the network.
25
4
OBJECTS OF THE PRESENT DISCLOSURE
[0010] It is an object of the present disclosure to provide a system and a
method for improving network analysis by monitoring and visualizing a network
through thematic tools to maintain a problem-free and optimized network.
[0011] It is an object of the present disclosure to provide 5 a customized
network analysis based on multiple parameters in a single instance.
[0012] It is an object of the present disclosure to provide access to different
databases and generate analysis on those data in a single frame.
[0013] It is an object of the present disclosure to use a thematic problem10
solving approach for site analysis leading to an enhanced user experience.
SUMMARY
[0014] The present disclosure discloses a system for generating at least one
thematic layer for network performance monitoring and analysis. The system
includes an input unit, a plurality of data sources, and a processing unit. The input
15 unit is configured to receive at least one request from a user. Each of the plurality
of data sources is configured to store a plurality of information corresponding to a
plurality of performance attributes associated with the network. The processing unit
is configured to cooperate with the input unit and the plurality of data sources to
receive the at least one request and the stored information respectively. The
20 processing unit is configured to extract at least one information corresponding to
the received request and to process the extracted information for generating the at
least one thematic layer.
[0015] In an embodiment, the system includes a display unit is configured
to cooperate with the processing unit and is further configured to display the at least
25 one generated thematic layer.
5
[0016] In an embodiment, the plurality of performance attributes includes a
cell level attribute, a site level attribute, an end user mute rate, a peak data rate, a
peak spectral efficiency, an area traffic capacity, a latency, a connection density, an
average spectral efficiency, an energy efficiency, an air fiber connectivity, a
mobility interruption time, 5 and a bandwidth.
[0017] In an embodiment, the at least one request includes at least one or
more of a data source from the plurality of data sources, at least one attribute from
the plurality of performance attributes corresponding to the source, and an operator.
[0018] In an embodiment, the operator is a relational operator or a user
10 defined operator.
[0019] In an embodiment, the user defined operator is a defined range or a
distinct value.
[0020] In an embodiment, the relational operator is equals to, not equal to,
less than or equal to, greater than or equal to, less than, greater than.
15 [0021] In an embodiment, the plurality of data sources includes a
performance management source, a site level attributes source, a cell level attributes
source, a configuration management source, and a fault management source.
[0022] In an embodiment, the user is configured to customize the at least
one thematic layer by defining at least one or more of data points, adjusting color
20 schemes associated with the thematic layer, and incorporating animations.
[0023] In an embodiment, the network is a 4G network, a 5G network, or a
6G network.
[0024] In an embodiment, the input unit is a touch screen or a pointer device.
[0025] In an embodiment, the includes a database for storing the at least one
25 generated thematic layer as an image, such that the system is configured to analyze
6
the stored thematic layer for generating at least one pattern, at least one trend, and
at least one anomaly related to the network.
[0026] The present disclosure discloses a method of generating at least one
thematic layer for network performance monitoring and analysis. The method
includes receiving, by an input unit, at least one request from 5 a user. The method
includes storing, by a plurality of data sources, a plurality of information
corresponding to a plurality of performance attributes associated with the network.
The method includes receiving, by a processing unit, the at least one request and
the stored information. The method includes extracting, by the processing unit, at
10 least one information corresponding to the at least one request and processing the
extracted information for generating the at least one thematic layer.
[0027] In an embodiment, the method further comprising displaying the at
least one generated thematic layer on a display unit.
[0028] In an embodiment, the plurality of performance attributes includes a
15 cell level attribute, a site level attribute, an end user mute rate, a peak data rate, a
peak spectral efficiency, an area traffic capacity, a latency, a connection density, an
average spectral efficiency, an energy efficiency, an air fiber connectivity, a
mobility interruption time, and a bandwidth.
[0029] In an embodiment, the method further comprising selecting, by the
20 user, a data source from the plurality of data sources, at least one attribute from the
plurality of performance attributes corresponding to the selected source, and an
operator via the input unit.
[0030] The present disclosure discloses a user equipment which is
configured to generate at least one thematic layer for network performance
25 monitoring and analysis. The user equipment includes a processor, and a computer
readable storage medium storing programming for execution by the processor. The
programming includes instructions to receive at least one request from a user. Under
the programming instructions, the processor is configured to store a plurality of
7
information corresponding to a plurality of performance attributes associated with
a network. Under the programming instructions, the processor is configured to
extract at least one information corresponding to the at least one request and process
the extracted information for generating the at least one thematic layer.
BRIEF DESCRIPTION 5 OF THE DRAWINGS
[0031] In the figures, similar components and/or features may have the
same reference label. Further, various components of the same type may be
distinguished by following the reference label with a second label that distinguishes
among the similar components. If only the first reference label is used in the
10 specification, the description is applicable to any one of the similar components
having the same first reference label irrespective of the second reference label.
[0032] The diagrams are for illustration only, which thus is not a limitation
of the present disclosure, and wherein:
[0033] FIG. 1 illustrates a block diagram of a system for generating at least
15 one thematic layer for network performance monitoring and analysis, in accordance
with an embodiment of the present disclosure.
[0034] FIG. 2 illustrates an exemplary architecture for creating the thematic
layers, in accordance with an embodiment of the disclosure.
[0035] FIG. 3 illustrates a process flow for creating the thematic layers, in
20 accordance with an embodiment of the disclosure.
[0036] FIG. 4A- FIG. 4C illustrate various snapshots with respect to the
defined process flow for creating the thematic layers, in accordance with an
embodiment of the disclosure.
[0037] FIG. 5 illustrates a sample output showing the created thematic
25 layers, in accordance with an embodiment of the disclosure.
8
[0038] FIG. 6 illustrates an example flow diagram for generating at least
one thematic layer for network performance monitoring and analysis, in accordance
with an embodiment of the present disclosure.
[0039] FIG. 7 illustrates an example computer system in which or with
which the embodiments of the present disclosure may 5 be implemented.
[0040] The foregoing shall be more apparent from the following more
detailed description of the disclosure.
LIST OF REFERENCE NUMERALS
100 – System
10 102 – Input Unit
104, 206 – A plurality of Data Sources
106 – Processing Unit
110 – Database
112 – Display Unit
15 710 – External Storage Device
720 – Bus
730 – Main Memory
740 – Read Only Memory
750 – Mass Storage Device
20 760 – Communication Port
770 – Processor
DETAILED DESCRIPTION
[0041] In the following description, for the purposes of explanation, various
specific details are set forth in order to provide a thorough understanding of
25 embodiments of the present disclosure. It will be apparent, however, that
embodiments of the present disclosure may be practiced without these specific
details. Several features described hereafter can each be used independently of one
9
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. Some of the problems discussed above might not be
fully addressed by any of the features described herein. Example embodiments of
the present disclosure are described below, as illustrated in various 5 drawings in
which like reference numerals refer to the same parts throughout the different
drawings.
[0042] The ensuing description provides exemplary embodiments only, and
is not intended to limit the scope, applicability, or configuration of the disclosure.
10 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 be made in the
function and arrangement of elements without departing from the spirit and scope
of the disclosure as set forth.
15 [0043] 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 embodiments may be practiced without these
specific details. For example, circuits, systems, networks, processes, and other
components may be shown as components in block diagram form in order not to
20 obscure the embodiments in unnecessary detail. In other instances, well-known
circuits, processes, algorithms, structures, and techniques may be shown without
unnecessary detail in order to avoid obscuring the embodiments.
[0044] Also, it is noted that individual embodiments may be described as a
process that is depicted as a flowchart, a flow diagram, a data flow diagram, a
25 structure diagram, or a block diagram. Although a flowchart may describe the
operations as a sequential process, many of the operations can be performed in
parallel or concurrently. In addition, the order of the operations may be re-arranged.
A process is terminated when its operations are completed but could have additional
steps not included in a figure. A process may correspond to a method, a function, a
10
procedure, a subroutine, a subprogram, etc. When a process corresponds to a
function, its termination can correspond to a return of the function to the calling
function or the main function.
[0045] The word “exemplary” and/or “demonstrative” is used herein to
mean serving as an example, instance, or illustration. For the avoidance 5 of doubt,
the subject matter disclosed herein is not 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
10 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 or the claims, such terms are intended to be inclusive like the term
“comprising” as an open transition word without precluding any additional or other
elements.
15 [0046] Reference throughout this specification to “one embodiment” or “an
embodiment” or “an instance” or “one instance” means that a particular feature,
structure, or characteristic described in connection with the embodiment is included
in at least one embodiment of the present disclosure. Thus, the appearances of the
phrases “in one embodiment” or “in an embodiment” in various places throughout
20 this specification are not necessarily all referring to the same embodiment.
Furthermore, the particular features, structures, or characteristics may be combined
in any suitable manner in one or more embodiments.
[0047] The terminology used herein is to describe particular embodiments
only and is not intended to be limiting the disclosure. As used herein, the singular
25 forms “a”, “an”, and “the” are intended to include the plural forms as well, unless
the context indicates otherwise. It will be further understood that the terms
“comprises” and/or “comprising,” when used in this specification, specify the
presence of stated features, integers, steps, operations, elements, and/or
components, but do not preclude the presence or addition of one or more other
11
features, integers, steps, operations, elements, components, and/or groups thereof.
As used herein, the term “and/or” includes any combinations of one or more of the
associated listed items. It should be noted that the terms “mobile device”, “user
equipment”, “user device”, “communication device”, “device” and similar terms
are used interchangeably for the purpose of describing the invention. 5 These terms
are not intended to limit the scope of the invention or imply any specific
functionality or limitations on the described embodiments. The use of these terms
is solely for convenience and clarity of description. The invention is not limited to
any particular type of device or equipment, and it should be understood that other
10 equivalent terms or variations thereof may be used interchangeably without
departing from the scope of the invention as defined herein.
[0048] As used herein, an “electronic device”, or “portable electronic
device”, or “user device” or “communication device” or “user equipment” or
“device” refers to any electrical, electronic, electromechanical, and computing
15 device. The user device is capable of receiving and/or transmitting one or
parameters, performing function/s, communicating with other user devices, and
transmitting data to the other user devices. The user equipment may have a
processor, a display, a memory, a battery, and an input-means such as a hard keypad
and/or a soft keypad. The user equipment may be capable of operating on any radio
20 access technology including but not limited to IP-enabled communication, Zig Bee,
Bluetooth, Bluetooth Low Energy, Near Field Communication, Z-Wave, Wi-Fi,
Wi-Fi direct, etc. For instance, the user equipment may include, but not limited to,
a mobile phone, smartphone, virtual reality (VR) devices, augmented reality (AR)
devices, laptop, a general-purpose computer, desktop, personal digital assistant,
25 tablet computer, mainframe computer, or any other device as may be obvious to a
person skilled in the art for implementation of the features of the present disclosure.
[0049] Further, the user device may also comprise a “processor” or
“processing unit” includes processing unit, wherein processor refers to any logic
circuitry for processing instructions. The processor may be a general-purpose
30 processor, a special purpose processor, a conventional processor, a digital signal
12
processor, a plurality of microprocessors, one or more microprocessors in
association with a 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 data processing,
input/output processing, and/or any other functionality that enables 5 the working of
the system according to the present disclosure. More specifically, the processor is
a hardware processor.
[0050] As portable electronic devices and wireless technologies continue to
improve and grow in popularity, the advancing wireless technologies for data
10 transfer are also expected to evolve and replace the older generations of
technologies. In the field of wireless data communications, the dynamic
advancement of various generations of cellular technology are also seen. The
development, in this respect, has been incremental in the order of second generation
(2G), third generation (3G), fourth generation (4G), and now fifth generation (5G),
15 and more such generations are expected to continue in the forthcoming time. In
today's world, where communication and data transmission play an important role,
network performance is crucial. Mobile network operators strive to provide their
customers with optimal performance, seamless connectivity, and high-quality
services.
20 [0051] Traditional methods of analyzing network performance relied on a
combination of manual inspections, drive testing, key performance indicators
(KPIs), network monitoring tools, field technicians and customer feedback.
Although these methods provided valuable insights, they demanded significant
time, resources, and manual labour. Drive testing required physically navigating
25 different locations to collect data on network parameters, while KPIs and network
monitoring tools provided quantitative measurements on a network-wide scale. Onsite
field technicians dealt with issues, and customer complaints provided feedback
on network problems. However, these methods may not be sufficient to deliver realtime
insights, or proactive issue identification.
13
[0052] The present disclosure discloses a system and method for facilitating
the creation of thematic layers that can adapt in real-time based on user interactions.
The present system utilizes a diverse range of data sources, including performance
management (PM), site attributes, cells attributes, configuration management
(CM), and fault management (FM). By integrating information from 5 these multiple
data sources, the system ensures a comprehensive and nuanced representation of
data for users. The system is configured to provide real-time interaction with users,
thereby enabling users to actively shape and modify thematic layers as they engage
with the system. The system is configured to allow immediate adjustments, align
10 the visual representation of data with according to needs and preferences of users.
[0053] The various embodiments throughout the disclosure will be
explained in more detail with reference to FIG. 1- FIG. 7.
[0054] FIG. 1 illustrates a block diagram of a system (referred as “system
100”) for generating at least one thematic layer for network performance
15 monitoring and analysis, in accordance with an embodiment of the present
disclosure. The user is configured to customize the at least one thematic layer by
defining at least one or more of data points, adjusting color schemes associated with
the thematic layer, and incorporating animations.
[0055] Referring to FIG. 1, the system 100 includes an input unit (102), a
20 plurality of data sources (104), and a processing unit (106). The plurality of data
sources (104) is configured to store a plurality of information corresponding to a
plurality of performance attributes associated with the network. For example, the
plurality of data sources (104) includes a performance management (PM) source, a
site level attributes source, a cell level attributes source, a configuration
25 management (CM) source, and a fault management (FM) source. Each of the
plurality of data sources (104) stores the plurality of information corresponding to
a defined set of performance attributes. For example, the performance management
(PM) source is configured to store the information for a performance attribute such
as end user mute rate. The end user mute rate is defined as a measurement of calls
14
where calls are getting mute in both direction (called party and calling party). In an
example, the plurality of performance attributes a cell level attribute, a site level
attribute, an end user mute rate, a peak data rate, a peak spectral efficiency, an area
traffic capacity, a latency, a connection density, an average spectral efficiency, an
energy efficiency, an air fiber connectivity, a mobility interruption 5 time, and a
bandwidth. In an example, the network is a 4G network, a 5G network, or a 6G
network. In an aspect, each network has different performance attributes. For
example, for 4G network, the system 100 is configured to access a selected data
sources such as the performance management (PM) source, the site level attributes
10 source, and the cell level attributes source. Further, for 5G network, the system 100
is configured to access different data sources such as the performance management
(PM) source, the site level attributes source, the cell level attributes source, the
configuration management (CM) source, and the fault management (FM) source.
[0056] The input unit (102) (acting as a user interface) is configured to
15 receive at least one request from a user. In an example, the request includes at least
one or more of a data source from the plurality of data sources (104), an attribute
from the set of attributes corresponding to the source, and an operator. In an
example, the input unit (102) is a touch screen or a pointer device. Using the input
unit (102), the user is able to select the data source (for example, the site level
20 attributes source), the attribute from a set of performance attributes (for example,
the site priority attribute) corresponding to the selected source, and the operator via
the input unit (102). The operator is a relational operator or a user defined operator.
In an embodiment, the user defined operator is a defined range or a distinct value.
In an example, the relational operator is equals to, not equal to, less than or equal
25 to, greater than or equal to, less than, greater than. In an example, the relational
(mathematical) operator is an equality sign (=), an inequality sign (<, >) or the like.
[0057] The processing unit (106) is configured to cooperate with the input
unit (102) and the plurality of data sources (104) to receive the at least one request
and the stored information respectively and is further configured to extract the
30 stored information corresponding to the received request and to process the
15
extracted information based on the received request for generating the thematic
layer(s). In an embodiment, the processing unit (106) may be implemented as a
combination of hardware and programming (for example, programmable
instructions) to implement one or more functionalities of the processing unit (106).
In examples described herein, such combinations of hardware 5 and programming
may be implemented in several different ways. For example, the programming for
the processing unit (106) may be processor-executable instructions stored on a nontransitory
machine-readable storage medium and the hardware for the processing
unit (106) may comprise a processing resource (for example, one or more
10 processors), to execute such instructions. In the present examples, the machinereadable
storage medium may store instructions that, when executed by the
processing resource, implement the processing unit (106). In such examples, the
system 100 may comprise the machine-readable storage medium storing the
instructions and the processing resource to execute the instructions, or the machine15
readable storage medium may be separate but accessible to the system 100 and the
processing resource. In other examples, the processing unit (106) may be
implemented by electronic circuitry. According to an aspect of the present
disclosure, the processing unit (106) may be implemented as one or more
microprocessors, microcomputers, microcontrollers, digital signal processors,
20 central processing units, state machines, logic circuitries, and/or any devices that
manipulate signals based on operational instructions. Among other capabilities, the
processing unit may be configured to fetch and execute computer-readable
instructions stored in the memory.
[0058] In an embodiment, the system 100 includes a display unit 112 which
25 is configured to cooperate with the processing unit and is further configured to
display the generated thematic layer.
[0059] In an embodiment, one or more computing devices may be
connected to the system (100). A person of ordinary skill in the art will understand
that the one or more computing devices may be collectively referred as computing
30 devices and individually referred as a computing device. One or more users may
16
provide one or more requests to the system (100). In an embodiment, the computing
device may include, but not be limited to, a mobile, a laptop, etc. Further, the
computing device may include one or more in-built or externally coupled
accessories including, but not limited to, a visual aid device such as a camera, audio
aid, microphone, or keyboard. Furthermore, the computing device 5 may include a
mobile phone, smartphone, virtual reality (VR) devices, augmented reality (AR)
devices, a laptop, a general-purpose computer, a desktop, a personal digital
assistant, a tablet computer, and a mainframe computer.
[0060] In an embodiment, the network may include, by way of example but
10 not limitation, at least a portion of one or more networks having one or more nodes
that transmit, receive, forward, generate, buffer, store, route, switch, process, or a
combination thereof, etc. one or more messages, packets, signals, waves, voltage or
current levels, some combination thereof, or so forth. The network may also
include, by way of example but not limitation, one or more of a wireless network,
15 a wired network, an internet, an intranet, a public network, a private network, a
packet-switched network, a circuit-switched network, an ad hoc network, an
infrastructure network, a Public-Switched Telephone Network (PSTN), a cable
network, a cellular network, a satellite network, a fiber optic network, or some
combination thereof.
20 [0061] In an embodiment, the system 100 further includes a database 110
for storing the at least one generated thematic layer. The database 110 is configured
to store the request received from the user. The database 110 is further configured
to store a number of selections made by the user whereas the selection includes at
least one or more of a data source from the plurality of sources, an attribute from
25 the set of attributes corresponding to the source, and a mathematical operator. The
database 110 is configured to store the generated thematic layer corresponding to
the number of selections. In an embodiment, the database is configured to store the
at least one generated thematic layer as an image, such that the system is configured
to analyze the stored thematic layer for generating at least one pattern, at least one
30 trend, and at least one anomaly related to the network. The database 110 is
17
configured to store computer-readable instructions. The database 110 may be
coupled to the processing unit (106) and may include any computer-readable
medium known in the art including, for example, volatile memory, such as static
random-access memory (SRAM) and dynamic random-access memory (DRAM)
and/or non-volatile memory, such as read only memory 5 (ROM), erasable
programmable ROM, flash memories, hard disks, optical disks, and magnetic tapes.
[0062] Although FIG. 1 shows exemplary components of the system (100),
in other embodiments, the system (100) may include fewer components, different
components, differently arranged components, or additional functional components
10 than depicted in FIG. 1. Additionally, or alternatively, one or more components of
the system (100) may perform functions described as being performed by one or
more other components of the system (100).
[0063] Using centralized databases and user preference analysis, the system
100 effectively addresses data visualization issues without consuming excessive
15 human work hours. For each Key Performance Indicator (KPI), the system is
required to access multiple data sources. However, for evaluating the performance
of an area that comprises multiple network sites from different vendors, it is a
challenging and time-consuming task to calculate KPIs as different vendors have a
specific set of criteria for calculating KPIs. In such cases, generating KPIs from
20 different systems and processing them can be complex, therefore the centralized
databases are required for providing an effective solution in such scenario. By
centralizing the data, the system is able to bring together information from different
sources, making it easier to process and evaluate. This approach helps to reduce the
complexity of generating KPIs from multiple systems, and ensures that the data is
25 accurate, reliable, and consistent. Centralized databases also provide a better
overview of the performance of the area, enabling the network operators to identify
trends and patterns more effectively and helping the network operators to identify
areas that require improvement and implement strategies for enhancing
performance. By applying the thematic layers approach to the site or sector level,
30 the system 100 effectively troubleshoots and addresses problem in more precise
18
way as all the data is considered at a particular time instance. In addition, backend
development efforts are minimized as all the data is analyzed in a single go and the
user may visualize thematic analysis. Further, using a thematic plot ensures that the
issue is specified towards a particular specific site/cluster. The system 100 enables
the user to define the data sources, criteria, and theme color palette. 5 The system 100
is configured to present the generated thematic layer in a single display window,
thereby helping engineers (users) to use and perform optimization and performance
analysis in a better and effective way.
[0064] In an embodiment, the disclosed system 100 facilitates to minimise
10 an effort that is being executed for conducting daily analysis by telecom engineers
who retrieve multiple Project Management (PM) Key Performance Indicators
(KPIs) or alarm reports to determine root causes of poor network performance faced
by customers. In addition, the user may select specific attributes and provide
additional criteria along with a thematic preference. With this information, a site
15 layer user interface (UI) may modify with the provided thematic on the sites/sector
as user’s choice. In an example, a fixed wireless access (FWA) KPIs includes
various attributes such as payload, throughput, drop rate, and session success rate.
In another example, the Project Management (PM) KPIs includes various attributes
such as mute call rate, accessibility, availability, payload, throughput, PRB
20 (Physical Resource Block) utilization etc. In an example, the fixed wireless access
(FWA) KPI further include alarm trend as an additional attribute. In another
example, the configuration management (CM) source includes attribute such as
golden parameters.
[0065] In an operative aspect, the disclosed system 100 is used to create the
25 thematic layers with dynamic data in real-time. A network is selected, and a set of
data sources based on the determined network is selected. The data sources
comprise one of PM source, configuration management (CM) source, Fault
Management (FM) source, site level attributes (e.g., site priority, phase, scope,
etc.,), cell level attributes (e.g., Physical cell ID (PCI), tracking area code (TAC),
30 Operating Sub-system (OSS)). Further, the plurality of attributes (e.g., accessibility,
19
availability, cell quality index (CQI), alarms, etc.,) are generated based on the data
sources. A criteria is applied to identify and visualize sites, cells, and locations
which meets the applied criteria. The at least one criterion is given by a user (e.g.,
user need to identify the sites with call drop rate greater than 2% and accessibility
less than 90 %). Further, the legends (boolean, ranges, distinct value 5 types, different
colours or thematic) are determined according to operators (greater than, less than
or equal to, distinct or defined ranges) used in the applied criteria. Next, a date and
data granularity are set to fetch the data from the data sources on that particular
date. The legends are displayed over the visualized sites, cells, and locations
10 corresponding to the applied criteria based on the data fetched from the data
sources.
[0066] One of the criteria is that of mathematical operators like “equal to”,
“not equal to”, “greater than”, and “less than”. Distinct ranges for unique values in
a specified attribute are considered. The ranges are defined where the user may
15 provide and use a set of minimum and maximum values of a specified KPI.
[0067] FIG. 2 illustrates an exemplary architecture 200 for creating the
thematic layers, in accordance with an embodiment of the disclosure. As shown in
FIG. 2, a user interface 202 is used for passing queries, as a request 204. The system
100 is configured to send the request 204 to the plurality of data sources 206 (having
20 a PM database, a CM database, and a site database). The system 100 is configured
to retrieve information from the plurality of data sources 206 as a response 208
(thematic layer). Further, the system 100 is configured to display the received
response via a map visualization having customized cosmetic views 210 on the user
interface. The users are able to use data from various data sources.
25 [0068] FIG.3 illustrates a process flow 300 for creating the thematic layers,
in accordance with an embodiment of the disclosure. At step 302, the system 100 is
ready for receiving input from the user. At step 304, the user is able to select a
network (4G or 5G) corresponding to which he wants to generate the thematic
layer(s). As is illustrated (step 306), for a 5G technology selection, a data source
20
for analytics is defined. This includes a PM source, FM source, CM source, site
level attributes, and cell level attributes. The defined data source is used for listing
and defining attributes according to a data source selection (step 308). When the
technology section is defined under 4G, a data source for analytics is defined (step
310) and includes parameters such as PM, site level attributes, 5 and cell level
attributes. The data source is used for listing and defining attributes according to
data source selection (step 312). The defined attributes are used for listing and
defining an operator for the analytics (step 314). A decision is made to determine
what is to be provided in legends with operator selection (step 316). Further, a
10 palette is generated for distinct colors (step 318). When an operator value is defined
as “distinct values”, a list of distinct values is provided in the table with legends
(step 322). Further, a palette is generated for boolean colors (step 320). However,
when the operator is defined as “mathematical operators” then a “value” option is
enabled, and a boolean legend is provided (step 324).
15 [0069] In addition, when the operator is defined as “define ranges” then a
manual with input ranges with the legends is provided (step 328). This is supported
by a palette generated with a number of ranges (step 326). The enabled values are
used for date selection for performing analytics (step 330). The date selection
information is passed to a data granularity selection block (step 332). Further, a
20 determination is made with respect to what is to be done with these settings (step
334). One option is to save the thematic for the future use (step 336), and the other
option is to select load the thematic of the site layers (step 338). At step 340, the
system 100 displays the generated thematic layers.
[0070] FIG. 4A- FIG. 4C illustrate various snapshots with respect to the
25 defined process flow for creating the thematic layers, in accordance with an
embodiment of the disclosure.
[0071] FIG. 4A illustrates a snapshot 410 of selecting the data source,
attributes corresponding to the selected data source. For example, the selected data
source is the site level attributes and selected attribute is site priority. Further, the
21
user is able to select a band and a time duration for which the user wants to generate
the thematic layer. By choosing option granularity the user can define the scale or
level of detail of data.
[0072] FIG. 4B illustrates a snapshot 420 of selecting another data source,
attributes corresponding to the selected data source. For example, 5 the selected data
source is the PM KPI and selected attribute is user mute rate. Further, the user is
able to select an operator (for example defined ranges), and a frequency. The user
is able to select various colors to distinguish various information on the thematic
layers.
10 [0073] FIG. 4C illustrates another snapshot 430 of selecting another data
source, attributes corresponding to the selected data source. For example, the
selected data source is the site level attributes and selected attribute is site priority.
Further, the user is able to select an operator (for example district values), and a
frequency.
15 [0074] FIG. 5 illustrates a sample output 500 showing the created thematic
layer, in accordance with an embodiment of the disclosure.
[0075] The disclosed system 100 and method provide a unique network
performance monitoring mechanism. In addition, an analysis of the dedicated site
or the specific area is provided using the thematic views. The disclosed system 100
20 and method are a fast and robust troubleshooting mechanism, where performance
of the network is enhanced with minimum effort. Due to incorporation of the
multiple data sources, the analysis with various perspectives in a single window
may allow performing easy Root Cause Analysis (RCA). In addition, the disclosed
system 100 and method enhances layer utilization as the thematic is applied on the
25 layers leading to enhanced user interaction on the site layers there by introducing
more end users to a cognitive platform.
22
[0076] FIG. 6 illustrates an example flow diagram (600) for generating at
least one thematic layer for network performance monitoring and analysis, in
accordance with an embodiment of the present disclosure.
[0077] At step (602), the system (100) receives at least one request from a
user using the input unit (102). In an example, the at least one request 5 includes at
least one or more of a data source from the plurality of data sources (104), an
attribute from the set of attributes corresponding to the source, and a mathematical
operator. For example, the plurality of performance attributes includes a cell level
attribute, a site level attribute, an end user mute rate, a peak data rate, a peak spectral
10 efficiency, an area traffic capacity, a latency, a connection density, an average
spectral efficiency, an energy efficiency, an air fiber connectivity, a mobility
interruption time, and a bandwidth. In an example, the cell level attribute is a
physical cell identifier. In an example, the site level attribute is a site type, a site
priority, or a site progress phase.
15 [0078] At step (604), the plurality of data sources (104) is configured to
store the plurality of information corresponding to the plurality of performance
attributes associated with the network. For example, the plurality of data sources
(104) includes a performance management (PM) source, a site level attributes
source, a cell level attributes source, a configuration management (CM) source, and
20 a fault management (FM) source. Each of the plurality of data sources (104) stores
the plurality of information corresponding to a defined set of performance
attributes.
[0079] At step (606), the processing unit (106) receives the at least one
request from the input unit (102) and the stored information from the plurality of
25 data sources (104) respectively.
[0080] At step (608), the processing unit (106) extracts the stored
information corresponding to the at least one request and processes the extracted
information based on the at least one request for generating the at least one thematic
layer.
23
[0081] In an embodiment, the method (600) further includes a step of
displaying the at least one generated thematic layer on a display unit.
[0082] In an embodiment, the method (600) further includes a step of
selecting, by the user, a source from the plurality of data sources (104), an attribute
from a set of performance attributes corresponding to the selected 5 source, and a
mathematical operator via the input unit (102).
[0083] In an embodiment, the method (600) further includes a step of
customizing, by the user, the at least one thematic layer by defining data points,
adjusting color schemes, and incorporating animations.
10 [0084] In an exemplary embodiment, the present disclosure discloses a user
equipment which is configured to generate at least one thematic layer for network
performance monitoring and analysis. The user equipment includes a processor, and
a computer readable storage medium storing programming instructions for
execution by the processor. Under the programming instructions, the processor is
15 configured to receive at least one request from the user. Under the programming
instructions, the processor is configured to store a plurality of information
corresponding to a plurality of performance attributes associated with a network.
Under the programming instructions, the processor is configured to extract at least
one information corresponding to the at least one request and process the extracted
20 information for generating the at least one thematic layer.
[0085] FIG. 7 illustrates an example computer system (700) in which or
with which the embodiments of the present system (100) may be implemented.
[0086] As shown in FIG. 7, the computer system (700) may include an
external storage device (710), a bus (720), a main memory (730), a read-only
25 memory (740), a mass storage device (750), a communication port(s) (760), and a
processor (770). A person skilled in the art will appreciate that the computer system
(700) may include more than one processor and communication ports. The
processor (770) may include various modules associated with embodiments of the
24
present disclosure. The communication port(s) (760) may be any of an RS-232 port
for use with a modem-based dialup connection, a 10/100 Ethernet port, a Gigabit
or 10 Gigabit port using copper or fiber, a serial port, a parallel port, or other
existing or future ports. The communication ports(s) (760) may be chosen
depending on a network, such as a Local Area Network (LAN), 5 Wide Area Network
(WAN), or any network to which the computer system connects.
[0087] In an embodiment, the main memory (730) may be Random Access
Memory (RAM), or any other dynamic storage device commonly known in the art.
The read-only memory (740) may be any static storage device(s) e.g., but not
10 limited to, a Programmable Read Only Memory (PROM) chip for storing static
information e.g., start-up or basic input/output system (BIOS) instructions for the
processor (770). The mass storage device (750) may be any current or future mass
storage solution, which can be used to store information and/or instructions.
Exemplary mass storage solutions include, but are not limited to, Parallel Advanced
15 Technology Attachment (PATA) or Serial Advanced Technology Attachment
(SATA) hard disk drives or solid-state drives (internal or external, e.g., having
Universal Serial Bus (USB) and/or Firewire interfaces).
[0088] In an embodiment, the bus (720) may communicatively couple the
processor(s) (770) with the other memory, storage, and communication blocks. The
20 bus (720) may be, e.g. a Peripheral Component Interconnect PCI) / PCI Extended
(PCI-X) bus, Small Computer System Interface (SCSI), Universal Serial Bus
(USB), or the like, for connecting expansion cards, drives, and other subsystems as
well as other buses, such a front side bus (FSB), which connects the processor (770)
to the computer system (700).
25 [0089] In another embodiment, operator and administrative interfaces, e.g.,
a display, keyboard, and cursor control device may also be coupled to the bus (720)
to support direct operator interaction with the computer system (700). Other
operator and administrative interfaces can be provided through network
connections connected through the communication port(s) (760). Components
25
described above are meant only to exemplify various possibilities. In no way should
the aforementioned exemplary computer system (700) limit the scope of the present
disclosure.
[0090] The present disclosure is configured to provide an enhanced
interactive system which is configured to create thematic layers 5 in real-time by
using a combination of various data sources (performance management,
configuration management and fault management), based on user interaction. Using
the present system, the user is able to customize his thematic layer to highlight
specific data points, adjust color schemes, and incorporate animations for adding
10 impact. The present disclosure is applicable to a wide range of applications that
require real-time performance tracking of the network cell in real time. With the
fast advances of 5G standardization, the present disclosure may be applicable to
performance-based services-related use cases.
[0091] The method and system of the present disclosure may be
15 implemented in a number of ways. For example, the methods and systems of the
present disclosure may be implemented by software, hardware, firmware, or any
combination of software, hardware, and firmware. The above-described order for
the steps of the method is for illustration only, and the steps of the method of the
present disclosure are not limited to the order specifically described above unless
20 specifically stated otherwise. Further, in some embodiments, the present disclosure
may also be embodied as programs recorded in a recording medium, the programs
including machine-readable instructions for implementing the methods according
to the present disclosure. Thus, the present disclosure also covers a recording
medium storing a program for executing the method according to the present
25 disclosure.
[0092] While considerable emphasis has been placed herein on the preferred
embodiments, it will be appreciated that many embodiments can be made and that
many changes can be made in the preferred embodiments without departing from
the principles of the disclosure. These and other changes in the preferred
26
embodiments of the disclosure will be apparent to those skilled in the art from the
disclosure herein, whereby it is to be distinctly understood that the foregoing
descriptive matter is to be implemented merely as illustrative of the disclosure and
not as a limitation.
ADVANTAGES OF THE 5 PRESENT DISCLOSURE
[0093] The present disclosure provides a system and a method for
improving network analysis by monitoring and visualizing a network through
thematic tools to maintain a problem-free and optimized network.
[0094] The present disclosure provides customized network analysis based
10 on multiple parameters in a single instance.
[0095] The present disclosure provides access to different databases and
generates analysis on those data in a single frame.
[0096] The present disclosure uses a thematic problem-solving approach for
site analysis leading to an enhanced user experience.We Claim:
1. A system (100) for generating at least one thematic layer for network
performance monitoring and analysis, the system (100) comprising:
an input unit (102) configured to receive at least one request from a user;
a plurality of data sources (104), each of the plurality of data sources (104) is configured to store a plurality of information corresponding to a plurality of performance attributes associated with the network; and
a processing unit (106) configured to cooperate with the input unit (102) and the plurality of data sources (104) to receive the at least one request and the stored information, respectively and is further configured to extract at least one information of the plurality of information corresponding to the received request and to process the extracted information for generating the at least one thematic layer.
2. The system (100) as claimed in claim 1, includes a display unit (112) configured to cooperate with the processing unit (106) and is further configured to display the at least one generated thematic layer.
3. The system (100) as claimed in claim 1, wherein the plurality of performance attributes includes a cell level attribute, a site level attribute, an end user mute rate, a peak data rate, a peak spectral efficiency, an area traffic capacity, a latency, a connection density, an average spectral efficiency, an energy efficiency, an air fiber connectivity, a mobility interruption time, and a bandwidth.
4. The system (100) as claimed in claim 1, wherein the at least one request includes at least one or more of a data source from the plurality of data

sources (104), at least one attribute from the plurality of performance attributes corresponding to the source, and an operator.
5. The system (100) as claimed in claim 4, wherein the operator is a relational operator or a user defined operator.
6. The system (100) as claimed in claim 5, wherein the user defined operator is a defined range or a distinct value.
7. The system (100) as claimed in claim 5, wherein the relational operator is equals to, not equal to, less than or equal to, greater than or equal to, less than, greater than.
8. The system (100) as claimed in claim 1, wherein the plurality of data sources (104) includes a performance management source, a site level attributes source, a cell level attributes source, a configuration management source, and a fault management source.
9. The system (100) as claimed in claim 1, wherein the user is configured to customize the at least one thematic layer by defining at least one or more of data points, adjusting color schemes associated with the at least on thematic layer, and incorporating animations.
10. The system (100) as claimed in claim 1, wherein the network is a 4G network, a 5G network, or a 6G network.
11. The system (100) as claimed in claim 1, wherein the input unit (102) is a touch screen or a pointer device.

12. The system (100) as claimed in claim 1, further includes a database (110) for storing the at least one generated thematic layer as an image, such that the system is configured to analyze the stored thematic layer for generating at least one pattern, at least one trend, and at least one anomaly related to the network.
13. A method (600) of generating at least one thematic layer for network performance monitoring and analysis, the method comprising:
receiving (602), by an input unit (102), at least one request from a user;
storing (604), by a plurality of data sources (104), a plurality of information corresponding to a plurality of performance attributes associated with the network;
receiving (606), by a processing unit (106), the at least one request and the stored information; and
extracting (608), by the processing unit (106), the at least one information of the plurality of information corresponding to the at least one request and processing the extracted information for generating the at least one thematic layer.
14. The method (600) as claimed in claim 13, further comprising displaying the at least one generated thematic layer on a display unit.
15. The method (600) as claimed in claim 13, wherein the plurality of performance attributes includes a cell level attribute, a site level attribute, an end user mute rate, a peak data rate, a peak spectral efficiency, an area traffic capacity, a latency, a connection density, an average spectral efficiency, an energy efficiency, an air fiber connectivity, a mobility interruption time, and a bandwidth.

16. The method (600) as claimed in claim 13, further comprising selecting, by the user, a data source from the plurality of data sources (104), at least one attribute from the plurality of performance attributes corresponding to the selected source, and an operator via the input unit (102).
17. A user equipment (UE) configured to generate at least one thematic layer for network performance monitoring and analysis, the user equipment comprising:
a processor; and
a computer-readable storage medium storing programming instructions for execution by the processor, the programming instructions to:
receive at least one request from a user;
store a plurality of information corresponding to a plurality of performance attributes associated with a network; and
extract at least one information of the plurality of information corresponding to the at least one request and process the extracted information for generating the at least one thematic layer.