FORM 2
THE PATENTS ACT, 1970
(39 of 1970)
THE PATENTS RULES, 2003
COMPLETE
SPECIFICATION
(See section 10; rule 13)
TITLE OF THE INVENTION
DEVICE AND METHOD FOR PERFORMING A NETWORK TEST WITH REGIONAL
LANGUAGE SUPPORT
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
RESERVATION OF RIGHTS
[0001] A portion of the disclosure of this patent 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 5 to Jio Platforms Limited (JPL) or its affiliates
(hereinafter referred as owner). The owner has no objection to the facsimile
reproduction 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
10 reserved by the owner.
FIELD OF DISCLOSURE
[0002] The embodiments of the present disclosure generally relate to mobile
application technology. In particular, the present disclosure relates to a device
15 and method for performing a network test with regional language support.
BACKGROUND OF DISCLOSURE
[0003] The following description of related art is intended to provide
background information pertaining to the field of the disclosure. This section
20 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.
[0004] Wireless communication technology has rapidly evolved over the
25 past few decades. The first generation of wireless communication technology
was analog technology that offered only voice services. Further, when the
second-generation (2G) technology was introduced, text messaging and data
services became possible. The 3G technology marked the introduction of highspeed
internet access, mobile video calling, and location-based services. The
30 fourth generation (4G) technology revolutionized the wireless communication
with faster data speeds, improved network coverage, and security. Fifth
3
generation (5G) and advanced-generation technology are being deployed, with
even faster data speeds, low latency, and the ability to connect multiple devices
simultaneously.
[0005] As the mobile networks continues to grow, users are increasingly
concerned about the quality and 5 performance of their network connections. The
need for reliable signal strength and throughput information has become
essential for users to make informed decisions about their network providers.
The existing network applications often present technical details and parameters
that may not be easily understood by the average user. The complexity of the
10 information provided can be overwhelming, especially for individuals who are
not familiar with network terminology and concepts.
[0006] Conventional network applications face difficulty in addressing the
readability and comprehension issues commonly associated with network
applications. There, is therefore, a need in the art to provide a user device and a
15 method that can overcome the shortcomings of the existing prior arts.
OBJECTS OF THE PRESENT DISCLOSURE
[0007] Some of the objects of the present disclosure, which at least one
embodiment herein satisfies are as listed herein below.
20 [0008] An object of the present disclosure is to provide a user device and a
method where the voice assistance technology helps in assisting users to provide
voice commands in their regional language to eliminate manual intervention
and enhance the network testing process.
[0009] An object of the present disclosure is to provide a user device and a
25 method to support running tests and displaying results in the user's regional
language to facilitate better understanding of network conditions and help users
identify operators with good coverage and performance.
4
[0010] An object of the present disclosure is to provide a user device and a
method to develop a mobile application processing user voice commands and
convert them into machine-readable language.
[0011] An object of the present disclosure is to provide a user device and a
method where a mobile application 5 performs network tests based on the user's
input (either in voice input or a text input) and displays the results in the
requested language.
[0012] An object of the present disclosure is to provide a user device and a
method to educate customers about the network conditions in their area by
10 providing information on internet speed test results, video streaming
performance, and web performance test.
SUMMARY
[0013] In an exemplary embodiment, the present invention discloses a
15 method for performing a network test. The method comprising, receiving, by a
receiving unit, an input command from a user. The method comprising,
detecting, by a processing unit, a language of the received input command. The
method comprising processing, by the processing unit, the input command to
convert the detected language into a machine language. The method comprising,
20 performing, by a testing unit, the network test based on the processed input
command. The method comprising, converting, by the processing unit, a result
of the network test in the detected language. The method comprises, rendering
the result of the network test to the user in the detected language.
[0014] In an embodiment, the method further comprising providing a list of
25 options to the user to select the language for performing the network test.
[0015] In an embodiment, the selected language comprises of at least one of
a default language and a regional language of the user.
[0016] In an embodiment, the input command includes at least one of a
voice input and a text input.
5
[0017] In an embodiment, prior to receiving the voice input, the method
comprises installing a voice assistant configured to be activated based on at least
one of the voice input from the user and the geographical location of the user.
[0018] In an embodiment, the voice input comprising of a plurality of
5 instructions to perform the network test.
[0019] In an embodiment, the method further comprising performing a
natural language processing (NLP) on the voice input and using a geographical
location of the user to detect the language of the voice input.
[0020] In an embodiment, the network test comprising at least one of a video
10 streaming test, an internet speed test, and a web performance test.
[0021] In an embodiment, the network test is performed for at least one of
a long term evolution (LTE), Wi-Fi and a 5G communication network.
[0022] In an embodiment, the result of the network test depends on at least
one threshold value associated with at least one parameter related to the network
15 test.
[0023] In an embodiment, the at least one parameter is different for the
video streaming test, the internet speed test, and the web performance test.
[0024] In an embodiment, the at least one threshold value associated with
the at least one parameter is different for the LTE, Wi-Fi and the 5G
20 communication network.
[0025] In an exemplary embodiment, the present disclosure discloses a user
device for performing a network test. The user device comprising a receiving
unit configured to receive an input command from a user, a database configured
to store the received input command. The user device comprising a processing
25 unit and a testing unit coupled to the receiving unit and the database. The
processing unit configured to detect a language of the received input command
and process the input command to convert the detected language into a machine
language. The testing unit configured to configured to perform the network test
based on the processed input command. The processing unit configured to
6
convert a result of the network test in the detected language and render the result
of the network test to the user in the detected language.
[0026] In an embodiment, the user device further configured to provide a
list of options to the user to select the language for performing the network test.
[0027] In an embodiment, the selected 5 language comprises of at least one of
a default language and a regional language of the user.
[0028] In an embodiment, the input command includes at least one of a
voice input and a text input.
[0029] In an embodiment, prior to receiving the voice input, the user device
10 is configured to install a voice assistant configured to be activated based on at
least one of the voice input from the user and the geographical location of the
user.
[0030] In an embodiment, the voice input comprising of a plurality of
instructions to perform the network test.
15 [0031] In an embodiment, user device further configured to perform a
natural language processing (NLP) on the voice input and using a geographical
location of the user to detect the language of the voice input.
[0032] In an embodiment, the network test comprising at least one of a video
streaming test, an internet speed test, and a web performance test.
20 [0033] In an embodiment, the network test is performed for at least one of
a long term evolution (LTE), Wi-Fi and a 5G communication network.
[0034] In an embodiment, the result of the network test depends on at least
one threshold value associated with at least one parameter related to the network
test.
25 [0035] In an embodiment, the at least one parameter is different for the
video streaming test, the internet speed test, and the web performance test.
7
[0036] In an embodiment, the at least one threshold value associated with
the at least one parameter is different for the LTE, Wi-Fi and the 5G
communication network.
BRIEF DESCRIPTION OF DRAWINGS
[0037] The accompanying drawings, 5 which are incorporated herein, and
constitute a part of this disclosure, illustrate exemplary embodiments of the
disclosed method and user device 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 illustrating
10 the principles of the present disclosure. Some drawings may indicate the
components using block diagrams and may not represent the internal circuitry
of each component. It will be appreciated by those skilled in the art that
disclosure of such drawings includes the disclosure of electrical components,
electronic components or circuitry commonly used to implement such
15 components.
[0038] FIG. 1 illustrates an example network architecture for implementing
method for performing a network test with regional language support, in
accordance with an embodiment of the present disclosure.
[0039] FIG. 2 illustrates an example block diagram of a user device, in
20 accordance with an embodiment of the present disclosure.
[0040] FIG. 3A illustrates an example flow diagram for implementation of
a network test with regional language support, in accordance with an
embodiment of the present disclosure.
[0041] FIG. 3B illustrates another example flow diagram for
25 implementation a network test with regional language support, in accordance
with an embodiment of the present disclosure.
[0042] FIG. 4A-4I illustrates an example representation of a working model
reference of a mobile application, in accordance with an embodiment of the
present disclosure.
8
[0043] FIG. 5 illustrates an example computer system in which or with
which the embodiments of the present disclosure may be implemented.
[0044] FIG. 6 illustrates a flow diagram of a method for performing a
network test, in accordance with an embodiment of the present disclosure.
[0045] The foregoing 5 shall be more apparent from the following more
detailed description of the disclosure.
LIST OF REFERENCE NUMERALS
10 100 - Network architecture
102-1, 102-2…102-N - A plurality of users
104-1, 104-2….104-N - A plurality of computing devices
106 - Network
108 - Server
15 200 - Block Diagram
202 – Receiving unit
204 - Memory
206 – Interfacing unit
208 - Processing unit
20 210 – Database
212- Testing unit
300A- Flow diagram
300B- Flow diagram
400A-400I - A working model reference of the mobile application
25 500- A computer system
9
510 – External Storage Device
520 – Bus
530 – Main Memory
540 – Read Only Memory
5 550 – Mass Storage Device
560 – Communication Port
570 – Processor
600- Flow Diagram
DETAILED DESCRIPTION OF DISCLOSURE
10 [0046] In the following description, for explanation, various specific details
are outlined in order to provide a thorough understanding of 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 another or
15 with any combination of other features. An individual feature may not address
all 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.
[0047] The ensuing description provides exemplary embodiments only and
20 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
be made in the function and arrangement of elements without departing from
25 the spirit and scope of the disclosure as set forth.
[0048] 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
10
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 obscure the embodiments in unnecessary detail. In other instances, wellknown
circuits, processes, algorithms, structures, and techniques may be shown
5 without unnecessary detail to avoid obscuring the embodiments.
[0049] 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
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
10 parallel or concurrently. In addition, the order of the operations may be rearranged.
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 procedure, a subroutine, a subprogram, etc. When a
process corresponds to a function, its termination can correspond to a return of
15 the function to the calling function or the main function.
[0050] 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 limited by such examples. In
addition, any aspect or design described herein as “exemplary” and/or
20 “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 or the claims, such
25 terms are intended to be inclusive like the term “comprising” as an open
transition word without precluding any additional or other elements.
[0051] 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
30 included in at least one embodiment of the present disclosure. Thus, the
11
appearances of the phrases “in one embodiment” or “in an embodiment” in
various places throughout 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
5 embodiments.
[0052] The terminology used herein is to describe particular embodiments
only and is not intended to be limiting the disclosure. As used herein, the
singular 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
10 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 features, integers, steps, operations, elements, components, and/or groups
thereof. As used herein, the term “and/or” includes any combinations of one or
15 more of the associated listed items.
[0053] The various embodiments throughout the disclosure will be
explained in more detail with reference to FIGs. 1-6.
[0054] FIG. 1 illustrates an example network architecture (100) for
implementing a method for performing a network test with regional language
20 support, in accordance with an embodiment of the present disclosure.
[0055] A server (108) may be communicatively coupled through a network
(106) which is coupled to one or more computing devices (104-1, 104-2…104-
N).
[0056] A person of ordinary skill in the art will understand that one or more
25 computing devices (104-1, 104-2…104-N) may be collectively referred to as
computing devices (104) and individually referred to as computing devices
(104). One or more users (102-1, 102-2…102-N) may provide one or more
requests to the system/ server (108). A person of ordinary skill in the art will
understand that one or more users (102-1, 102-2…102-N) may be collectively
12
referred to as users (102) and individually referred to as users (102). Further,
the computing devices (104) may also be referred to as user device or a user
devices (104) user equipment (UE) (104) or as UEs (104) throughout the
disclosure.
[0057] In an embodiment, 5 the computing device (104) may include, but not
be limited to, a mobile, a laptop, etc. Further, the computing device (104) 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 (104) may include a mobile
10 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. Additionally, input
devices for receiving input from the user (102) such as a touchpad, touchenabled
screen, electronic pen, and the like may be used.
15 [0058] In an embodiment, the network (106) may include, by way of
example but 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.
20 The network (106) may also include, by way of example but not limitation, one
or more of a wireless network, 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
25 network, a fiber optic network, or some combination thereof. In an aspect, the
server (108) may be a computing device that collaborates with the user device
(104) to perform the network test.
[0059] FIG. 2 illustrates an example block diagram (200) of a user device
(104), in accordance with an embodiment of the present disclosure.
13
[0060] Referring to FIG. 2, in an embodiment, the user device (104) may
include a receiving unit (202), a memory (204), an interfacing unit (206), a
processing unit (208), a database (210) and a testing unit (212). The receiving
unit (202) is configured to receive a voice input or a text input from a user (102)
to perform the network 5 test. The database (210) is configured to store the
received voice/text input. The processing unit (208) and the testing unit (212)
are coupled to the receiving unit (202) and the database (210). The processing
unit (208) is configured to detect a language of the received voice/text input and
process the voice/text input to convert the detected language into a machine
10 language. The testing unit (212) is configured to perform the network test based
on the processed voice/text input. The processing unit (208) is further
configured to convert a result of the network test in the detected language and
render the result of the network test to the user (102) in the detected language.
[0061] The processing unit (208) may be implemented as one or more
15 microprocessors, microcomputers, microcontrollers, digital signal processors,
central processing units, logic circuitries, and/or any devices that process data
based on operational instructions. Among other capabilities, the processing unit
(208) may be configured to fetch and execute computer-readable instructions
stored in a memory (204) of the user device (104). The memory (204) may be
20 configured to store one or more computer-readable instructions or routines in a
non-transitory computer readable storage medium, which may be fetched and
executed to create or share data packets over a network service. The memory
(204) may comprise any non-transitory storage device including, for example,
volatile memory such as random-access memory (RAM), or non-volatile
25 memory such as erasable programmable read only memory (EPROM), flash
memory, and the like.
[0062] In an embodiment, the interfacing unit (206) may comprise a variety
of interfaces, for example, interfaces for data input and output devices (I/O),
storage devices, and the like. The interfacing unit (206) may facilitate
30 communication through the user device (104). The interfacing unit (206) may
14
also provide a communication pathway for various components of the user
device (104).
[0063] In an embodiment, the processing unit (208) is configured to detect
the language of the received voice/text input. The processing unit (208) may use
one or more language tools, which performs feature 5 extraction, feature analysis,
language modelling process, classification and post-processing to detect the
language. The processing unit (208) may support regional languages as well as
international languages. The voice/text input is processed to convert the
detected language into a machine language. In examples, the processing unit
10 (208) may use tools such as automatic speech recognition (ASR), natural
language processing (NLP), etc., to convert audio input to text in corresponding
language. In some examples, the processing unit (208) may use one or more
language tools and geographical location to identify the language.
[0064] The network test is performed based on the processed voice/text
15 input by the testing unit (212). The processing unit (208) is further configured
to convert the result of the network test in the detected language and render the
result of the network test to a user in the detected language.
[0065] Although FIG. 2 shows exemplary components of the user device
(104) in other embodiments, the user device (104) may include fewer
20 components, different components, differently arranged components, or
additional functional components than depicted in FIG. 2. Additionally, or
alternatively, one or more components of the user device (104) may perform
functions described as being performed by one or more other components of the
user device (104).
25 [0066] FIG. 3A illustrates an example flow diagram (300A) for
implementation of a network test with regional language support, in accordance
with an embodiment of the present disclosure.
[0067] As illustrated in FIG. 3A, the following steps may be implemented
by the user device (104) for implementation of the network test with regional
30 language support.
15
[0068] At step 302: The user (102) may install a mobile application on the
user device (104). The mobile application may receive an input from the user
(102) pertaining to an audio command and the user device (104) may ask for a
location of the user (102). In an aspect, the input from the user (102) may
5 include a text command from the user (102).
[0069] At step 304: The user (102) may launch the application using the
voice command (audio input). The user device (104) may receive a request from
the user (102) to execute a network test based on the audio input of the user
(102) and based on the location permission granted by the user (102).
10 [0070] At step 306: The user (102) may launch the application using the
voice command. The user device (104) may receive a request from the user
(102) to execute the network test based on the audio input of the user (102)
when the location permission is not granted by the user (102).
[0071] At step 308: The user device (104) may take the default language
15 voice command into machine language and perform the network test. For
example, a video test will run, and the results will be displayed and shared in
the default language (at step 314), or a speed test will run, and the results will
get displayed and shared in the default language (at step 320), or a web test will
run, and the results will get displayed and shared in the default language (at step
20 330).
[0072] At step 310: When the user selects a default language, the user device
(104) may convert the default language voice command into machine language
and perform the network test. For example, a video test will run, and the results
will be displayed and shared in the default language (at step 316), or a speed
25 test will run, and the results will be displayed and shared in the default language
(at step 322), or a web test will run, and the results will get displayed and shared
in the default language (at step 326).
[0073] At step 312: When the default language is not selected by the
user(102) , then depending on the user’s location, the user is allowed to input
30 into a regional language voice command and perform the network test. For
16
example, a video test will run, and the results will be displayed and shared in
the regional language (at step 318), or a speed test will run, and the results will
be displayed and shared in the regional language (at step 324), or a web test will
run, and the results will get displayed and shared in the regional language (at
5 step 328).
[0074] FIG. 3B illustrates another example flow diagram (300B) for
implementation a network test with regional language support, in accordance
with an embodiment of the present disclosure.
[0075] As illustrated in FIG. 3B, the following steps may be implemented
10 by the user device (104) for implementation a network test with regional
language support.
[0076] At step 332: An input is received from the user (102) in a user
selected language. In an aspect, the user (102) selected language may be a user’s
regional language.
15 [0077] At step 334: The input from the user (102) may be received in a voice
message/command.
[0078] At step 336: The input from the user (102) may be received in a text
message/command.
[0079] At step 338: After receiving the input from the user (102) a machine
20 learning model is called. The machine learning models are algorithms that can
learn patterns and relationships from the input data, enabling them to make
predictions or decisions without being explicitly programmed.
[0080] At step 340: The machine learning model passes a tag of the selected
language to a configuration table. The tags refer to labels or metadata associated
25 with the models, or the input data used to train them.
[0081] At step 342: The configuration file is maintained with screen wise
tagging of the elements along with the selected language. Further, when there is
any addition of a new language, the model need to be trained on the new
17
language and corresponding entry need to be maintained in the configuration
file.
[0082] At step 344: The tags are passed to a nearest server to perform the
network test depending on the selected language.
[0083] At step 346:A network 5 test is performed with the same tag and the
selected language.
[0084] At step 348: The network test result may get displayed over a user
interface (UI) screen.
[0085] In an aspect, the various network test may include an internet speed
10 test (speed test), a web performance test, and a video streaming performance
(video test).
[0086] FIG. 4A-4I illustrates an example representation of a working model
reference of a mobile application, in accordance with an embodiment of the
present disclosure.
15 [0087] As illustrated in FIG. 4A, the user (102) launches the application on
the user device (104). The application provides a user interface (UI) (400A) that
provides the user (102) with a plurality of popular query options. For example,
the UI (400A) may display popular queries “Pick the number of your choice”,
“What is my data balance”, “I want to pay my bill”, “Recharge for a friend” or
20 “View my bill” etc. The user (102) may be allowed to record the audio (voice
command) or input the text through the UI (400A).
[0088] As illustrated in FIG. 4B, the UI (400B) may allow the user (102) to
record the audio (voice command). The user (102) may be presented with a
plurality of options such as “Allow record audio”, “While using the app”, “Only
25 this time” or “Deny”. In an aspect, the UI (400B) may allow the user (102) to
provide a text input.
[0089] As illustrated in FIG. 4C, after receiving the input command from
the user (102) the application may detect and provide a prompt to confirm the
detected language of the input command. For example, the application
18
automatically sets the detected language as the default language of the user. In
examples, the application may also provide a list of languages to the user to
select a language as an option. For example, the user (102) may be allowed to
select a default language or a regional language. The user (102) may be asked
for voice permission along with the 5 geographical location of the user (102).
Further, the user (102) may be asked to select the default language when no
geographical location is granted by the user (102).
[0090] As illustrated in FIG. 4D, the UI (400D), the voice command of the
user (102) may get processed, and a network test (e.g., speed test) may be
10 performed by the application.
[0091] As illustrated in FIG. 4E, the UI (400E), the results of the network
test may get displayed in the language selected by the user (102). For example,
the result of the network test may be displayed in the default language when the
default language is selected by the user (102). For example, the result of the
15 network test may be displayed in a regional language when the regional
language is selected by the user (102), and the location information is provided
by the user (102). For example, the network test comprised of a video streaming
test, an internet speed test, or a web performance test. For example, when the
speed test is performed, the results may be displayed, including ‘Download
20 speed’, ‘Upload speed’, and ‘Latency’. In an aspect, the video streaming test
involves testing a video streaming service that involves evaluating various
aspects such as video quality, streaming speed, reliability, user interface, and
overall performance of the video streaming service. In an aspect, the internet
speed test measures the user’s internet connection’s download speed (i.e., how
25 fast data is transferred from the internet to the user’s device), upload speed (i.e.,
how fast data is transferred from user’s device to the internet), and ping (i.e.,
the time it takes for data to travel from user’s device to the server and back).
When conducting an internet speed test, latency, often referred to as ‘ping’, and
it measures the time it takes for a data packet to travel from the user device
19
(104) to the server on the internet and back again. It is typically measured in
milliseconds (ms).
[0092] In an aspect, during the speed test, whenever the user (102) start the
speed test, depending on the location of the user (102), a nearest server (e.g.,
testing server) of that location is fetched. 5 The connection of the user device
(104) with the server is made and the speed test will get performed. In an aspect
speed test will be performed for latency, uplink (UL) speed and downlink (DL)
speed. The nearest server is identified to avoid reducing high latency.
[0093] In an aspect, the speed test is performed for communication
10 networks such as LTE, Wi-Fi and New radio (NR)/5G.
[0094] In an aspect, depending upon the threshold values of the parameters
such as DL speed and the UL speed, the speed test may be concluded as ‘Poor’,
‘Good’ and ‘Excellent’.
[0095] Further, the threshold values of the parameters such as DL speed and
15 the UL speed are different for LTE, Wi-Fi and 5G.
[0096] Other exemplary threshold values not disclosed are contemplated
herein. In an aspect, the threshold values of the LTE and Wi-Fi are provided in
Table 1.
For LTE and Wi-Fi
For DL Result
DL Values <=2.0Mbps Poor
DL Values >2.0Mbps and <=8.0Mbps Good
DL Value >8 Mbps Excellent
For UL
UL Values <=0.256 Mbps Poor
UL Values >0.256 Mbps and <=1 Mbps Good
UL Value >1 Mbps Excellent
20 Table 1
[0097] In an aspect, the threshold values of the NR/5G are provided in Table
2.
20
For 5G
For DL Result
DL Values <=20Mbps Poor
DL Values >20 Mbps and <=50 Mbps Good
DL Value >50 Mbps Excellent
For UL
UL Values <=10 Mbps Poor
UL Values >10 Mbps and <=15 Mbps Good
UL Value >15 Mbps Excellent
Table 2
[0098] Fig 4F indicates a web (website) performance test. The web
performance test validates the health of the various sites in terms of loading of
first bite, Domain Name System (5 DNS) resolution time and the time taken to
load an entire site (TTL). The DNS resolution time refers to the duration it takes
for a DNS server to process a DNS query and provide a response with the
corresponding IP address for a given domain name. In an aspect, the web
performance test involves evaluating various aspects of a website’s
10 performance, including load times, responsiveness, and scalability.
[0099] FIG. 4G indicate the results of the web performance test. In an
aspect, depending on the threshold values received for the parameters such as
DNS, First Bite, and the TTL a conclusion for a particular site can be drawn and
the result of the web performance test may be concluded as a pass or fail.
15 [00100] In an aspect, if (DNS resolution if get (No time out) and First Byte
if get (No time out) and TTL<5000 ms) => Pass
[00101] If (DNS resolution if get (time out ) and First Byte if get (time out)
and TTL >5000 ms ) => Fail
[00102] FIG. 4H shows the execution of the video test. While network speed
20 impacts the user’s video experience, providers around the world sometimes
limit the resolution or prioritize video traffic differently than other traffic. This
is one of the reasons why video test is an important part of any network
21
bandwidth test. The video test in application helps to measure the quality of
streaming experience. The video test may be available for the user (102) in an
application.
[00103] In an aspect, the streamed video content is typically delivered via
adaptive bitrate (ABR) technology, which 5 adjusts the quality of the video stream
based on network conditions. The ABR technology is a technique used in
streaming media delivery to adjust the quality of video or audio streams in realtime
based on the available network conditions and device capabilities. The
primary goal of ABR is to provide a smooth and uninterrupted viewing or
10 listening experience to users by dynamically adapting to fluctuations in network
bandwidth, latency, and device performance. A video test measures this adaptive
bitrate to tell the user the maximum resolution, the load time and buffer that the
user should be able to expect in a given current network conditions.
[00104] In an aspect, an accurate video test measurement requires an actual
15 video to be played, because video traffic cannot be simulated across a network.
The video test plays an actual video to specifically measure the performance of
the video streaming. Apart from adaptive bit rate, the user will also have
functionality to select resolution from a resolution list as shown in mock-ups.
Any resolution can be selected manually. In an aspect, the user in an Auto mode
20 will experience the resolution supported by its network and if the user moves to
a poor network in the auto mode, buffering can be experienced until the auto
mode adjusts it in lower resolution.
[00105] Fig. 4I shows a result page of the video test. Below are the resolution
supported and the parameters captured for the video test:
25 • Resolution - 144, 240, 360, 480, 540, 720, 1080, 1440, 2160
• Buffering, Stalling, Playback time, Freezing ratio, Test Duration,
Reference Signal Received Power (RSRP), Signal-to-Interference-plus-
Noise Ratio (SINR), Cell ID, Load Time, and Network Type.
22
[00106] The stalling in video streaming refers to a disruption in the
continuous playback of video content, often resulting in buffering or freezing
of the video stream. Stalling can occur due to various reasons, including
network congestion, insufficient bandwidth, server issues, or client-side
problems. The freezing ratio is a 5 metric used to quantify the frequency or extent
of freezing or buffering events during video playback. Freezing or buffering
occurs when video playback temporarily stops due to insufficient data being
buffered, typically caused by network congestion, insufficient bandwidth, or
server issues. The SINR provides insight into the quality of the received signal
10 by considering both the desired signal strength and the interference and noise
present in the environment.
[00107] FIG. 5 illustrates an example computer system (500) in which or
with which the embodiments of the present disclosure may be implemented.
[00108] As shown in FIG. 5, the computer system (500) may include an
15 external storage device (510), a bus (520), a main memory (530), a read-only
memory (540), a mass storage device (550), a communication port(s) (560), and
a processor (570). A person skilled in the art will appreciate that the computer
system (500) may include more than one processor and communication ports.
The processor (570) may include various modules associated with embodiments
20 of the present disclosure. The communication port(s) (560) 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) (560) may
be chosen depending on a network, such as a Local Area Network (LAN), Wide
25 Area Network (WAN), or any network to which the computer system (500)
connects.
[00109] In an embodiment, the main memory (530) may be Random Access
Memory (RAM), or any other dynamic storage device commonly known in the
art. The read-only memory (540) may be any static storage device(s) e.g., but
30 not limited to, a Programmable Read Only Memory (PROM) chip for storing
23
static information e.g., start-up or basic input/output system (BIOS) instructions
for the processor (570). The mass storage device (550) 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 Technology 5 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).
[00110] In an embodiment, the bus (520) may communicatively couple the
processor(s) (570) with the other memory, storage, and communication blocks.
10 The bus (520) 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 (570) to the computer system (500).
15 [00111] In another embodiment, operator and administrative interfaces, e.g.,
a display, keyboard, and cursor control device may also be coupled to the bus
(520) to support direct operator interaction with the computer system (500).
Other operator and administrative interfaces can be provided through network
connections connected through the communication port(s) (560). Components
20 described above are meant only to exemplify various possibilities. In no way
should the aforementioned exemplary computer system (500) limit the scope of
the present disclosure.
[00112] FIG. 6 illustrates a flow diagram of a method for performing a
network test, in accordance with an embodiment of the present disclosure.
25 [00113] At step 602, the method comprising, receiving, by a receiving unit,
an input command from a user.
[00114] At step 604, the method comprising, detecting, by a processing unit,
a language of the received input command.
24
[00115] At step 606, the method comprising processing, by the processing
unit, the input command to convert the detected language into a machine
language.
[00116] At step 608, the method comprising, performing, by a testing unit,
5 the network test based on the processed input command.
[00117] At step 610, the method comprising, converting, by the processing
unit, a result of the network test in the detected language.
[00118] At step 612, the method comprises, rendering the result of the
network test to the user in the detected language.
10 [00119] In an embodiment, the method further comprising providing a list of
options to the user to select the language for performing the network test. In an
embodiment, the selected language comprises of at least one of a default
language and a regional language of the user. In an embodiment, the input
command includes at least one of a voice input and a text input. In an
15 embodiment, prior to receiving the voice input, the method comprises installing
a voice assistant configured to be activated based on at least one of the voice
input from the user and the geographical location of the user. In an embodiment,
the voice input comprising of a plurality of instructions to perform the network
test. In an embodiment, the method further comprising performing a natural
20 language processing (NLP) on the voice input and using a geographical location
of the user to detect the language of the voice input. In an embodiment, the
network test comprising at least one of a video streaming test, an internet speed
test, and a web performance test. In an embodiment, the network test is
performed for at least one of a long term evolution (LTE), Wi-Fi and a 5G
25 communication network. In an embodiment, the result of the network test
depends on at least one threshold value associated with at least one parameter
related to the network test. In an embodiment, the at least one parameter is
different for the video streaming test, the internet speed test, and the web
performance test. In an embodiment, the at least one threshold value associated
25
with the at least one parameter is different for the LTE, Wi-Fi and the 5G
communication network.
[00120] In an exemplary embodiment, the present disclosure discloses a user
device for performing a network test. The user device comprising a receiving
unit configured to receive an input command 5 from a user, a database configured
to store the received input command. The user device comprising a processing
unit and a testing unit coupled to the receiving unit and the database. The
processing unit configured to detect a language of the received input command
and process the input command to convert the detected language into a machine
10 language. The testing unit configured to configured to perform the network test
based on the processed input command. The processing unit configured to
convert a result of the network test in the detected language and render the result
of the network test to the user in the detected language.
[00121] The present disclosure is applicable to 2G, 3G, 4G, 5G, 6G and
15 beyond all generation of mobile technology with multiple bands and carriers of
telecom operators. The present disclosure will help the field engineers to take
quick action and perform network performance test after deploying their
solutions on the field. The present disclosure will make easy for field engineer
(belonging to remote location) to understand the output of the network test in
20 their regional language. The present disclosure allows the field engineer to
understand the network test related output in a better way. The present
disclosure will also help the user to reduce field engineer effort, where they can
perform network related tests on voice command.
[00122] While considerable emphasis has been placed herein on the preferred
25 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
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
26
descriptive matter is to be implemented merely as illustrative of the disclosure
and not as a limitation.
ADVANTAGES OF THE INVENTION
[00123] The present disclosure provides 5 a user device and a method where
the use of voice assistance technology in the mobile application enables field
engineers and end users to perform network performance tests more efficiently.
[00124] The present disclosure provides a user device and a method
accepting user input (either in a voice input or a text input) in their regional
10 language catering to a wider user base and ensures better user understanding.
Users can comfortably communicate and interact with the application, making
it more accessible and user-friendly.
[00125] The present disclosure provides a user device and a method
displaying network test results in the user's language to enhance their
15 understanding of network conditions.
[00126] The present disclosure provides a user device and a method
educating users about network conditions in their area for allowing them to
identify network operators with favourable performance parameters.
[00127] The present disclosure provides a user device and a method that
20 allows flexibility to the users to personalize their language preferences based on
their comfort and requirements.
[00128] The present disclosure provides a user device and a method that
efficiently process voice commands and execute network tests based on user
input.
25 [00129] The present disclosure provides a user device and a method covering
a range of network tests, including speed tests, video tests, and website
performance tests to evaluate different aspects of network performance.
WE CLAIM:
1. A method (600) for performing a network test, the method (600) comprising:
receiving (602), by a receiving unit (202), an input command from a user (102);
detecting (604), by a processing unit (208), a language of the received input command;
processing (606), by the processing unit (208), the input command to convert the detected language into a machine language;
performing (608), by a testing unit (212), the network test based on the processed input command;
converting (610), by the processing unit (208), a result of the network test in the detected language; and
rendering (612) the result of the network test to the user (102) in the detected language.
2. The method (600) as claimed in claim 1, further comprising providing a list of options to the user (102) to select a language for performing the network test.
3. The method (600) as claimed in claim 2, wherein the selected language comprises of at least one of a default language and a regional language of the user (102).
4. The method (600) as claimed in claim 1, wherein the input command includes at least one of a voice input and a text input.
5. The method (600) as claimed in claim 4, wherein prior to receiving the voice
input, the method comprises installing a voice assistant configured to be activated
based on at least one of the voice input from the user (102) and a geographical
location of the user (102).

6. The method (600) as claimed in claim 4, wherein the voice input comprising of a plurality of instructions to perform the network test.
7. The method (600) as claimed in claim 4, further comprising performing a natural language processing (NLP) on the voice input and using a geographical location of the user (102) to detect the language of the voice input.
8. The method (600) as claimed in claim 1, wherein the network test comprising at least one of a video streaming test, an internet speed test, and a web performance test.
9. The method (600) as claimed in claim 1, wherein the network test is performed for at least one of a long term evolution (LTE), Wireless Fidelity (Wi-Fi) and a fifth-generation (5G) communication network.
10. The method (600) as claimed in claim 1, wherein the result of the network test
depends on at least one threshold value associated with at least one parameter
related to the network test.
11. The method (600) as claimed in claim 10, wherein the at least one threshold value associated with the at least one parameter is different for the LTE, Wi-Fi and the 5G communication network.
12. A user device (104) for performing a network test, the user device (104) comprising:
a receiving unit (202) configured to receive an input command from a user (102);
a database (210) configured to store the received input command;
a processing unit (208) and a testing unit (212) coupled to the receiving unit (202) and the database (210), wherein the processing unit (208) is configured to: detect a language of the received input command;

process the input command to convert the detected language into a machine language; wherein the testing unit (212) is configured to:
perform the network test based on the processed input command; wherein the processing unit (208) is further configured to:
convert a result of the network test in the detected language; and render the result of the network test to the user (102) in the detected language.
13. The user device (104) as claimed in claim 12, further configured to provide a list of options to the user (102) to select the language for performing the network test.
14. The user device (104) as claimed in claim 13, wherein the selected language comprises of at least one of a default language and a regional language of the user (102).
15. The user device (104) as claimed in claim 12, wherein the input command includes at least one of a voice input and a text input.
16. The user device (104) as claimed in claim 15, wherein prior to receiving the voice input, the user device (104) is configured to install a voice assistant configured to be activated based on at least one of the voice input from the user (102) and a geographical location of the user (102).
17. The user device (104) as claimed in claim 15, wherein the voice input
comprising of a plurality of instructions to perform the network test.
18. The user device (104) as claimed in claim 15, further configured to perform a
natural language processing (NLP) on the voice input and using a geographical
location of the user (102) to detect the language of the voice input.

19. The user device (104) as claimed in claim 12, wherein the network test comprising at least one of a video streaming test, an internet speed test, and a web performance test.
20. The user device (104) as claimed in claim 12, wherein the network test is performed for at least one of a long term evolution (LTE), Wireless Fidelity (Wi-Fi) and a fifth-generation (5G) communication network.
21. The user device (104) as claimed in claim 12, wherein the result of the network test depends on at least one threshold value associated with at least one parameter related to the network test.
22. The user device (104) as claimed in claim 21, wherein the at least one threshold
value associated with the at least one parameter is different for the LTE, Wi-Fi and
the 5G communication network.