FORM 2


PATENTS ACT, 1970 (39 of 1970) PATENTS RULES, 2003

COMPLETE SPECIFICATION
TITLE OF THE INVENTION
SYSTEM AND METHOD FOR PROVIDING VISUALIZATION OF A NETWORK PERFORMANCE AND SUBSCRIBER ACTIVITY WITHIN THE NETWORK
APPLICANT
JIO PLATFORMS LIMITED
Office-101, Saffron, Nr. Centre Point, Panchwati 5 Rasta, Ambawadi, Ahmedabad - 380006, Gujarat, India; Nationality: India
following specification particularly describes the invention and the manner in which it is to be performed

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, belong-
5 ing to Jio Platforms Limited (Jio) 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 reserved by the owner.
10
FIELD OF DISCLOSURE
[0002] The embodiments of the present disclosure generally relate to wireless commu¬
nications. In particular, the present disclosure relates to a system and a method for
providing visualization of a network performance and a subscriber activity within a
15 network.
DEFINITIONS
[0003] As used herein the term “one or more predetermined filters” refers to data filters
that filter the subscribers based on subscribers' custom data field(s).
20 [0004] The “subscriber details” refers to information such as, name, street address, tel-
ephone number, email address, or similar contact information provided by the sub-scriber to the provider to establish or maintain an account or communication channel, a subscriber or account number or identifier, the length of service, and the types of services.
25 [0005] The “network performance metrics” refers to quantitative measurements used
to evaluate and monitor the performance and reliability of a computer network. The performance of a network and reliability can be measured by various metrics, such as bandwidth, latency, jitter, packet loss, throughput, error rate, uptime, downtime, and
2

mean time to repair. Each metric reflects a different aspect of network's functionality and quality.
[0006] As used herein the term “subscriber data” may refer to for example, all the nec¬
essary information the system ought to know to perform the service, including but not
5 limited to, user identities mobile station international subscriber directory number
(MSISDN), international mobile equipment identity (IMEI) number, international mo¬
bile subscriber identity (IMSI), and subscriber permanent identifier (SUPI), temporary
data such as SGSN (serving GPRS support node) address, user status, and authentica¬
tion data. This subscriber data has a lifetime as long as the user is permitted to use the
10 service and may be modified by administrative means.
[0007] The “aggregated network data” refers to raw data expressed in a summary form
for statistical analysis. For example, raw data can be aggregated over a given time pe¬
riod to provide statistics such as average, minimum, maximum, sum, and count. After
the data is aggregated and written to a view or report, the aggregated data can be ana-
15 lysed to gain insights about particular resources or resource groups.
[0008] The “cell mapping information” includes information associated with location
wireless quality information including a base station identifier to identify the base sta¬
tion to which the UE is connected, a cell identifier to identify the service cell of the
base station to which the UE is connected, and the geographical location of the UE
20 connected to the service cell of the base station. The cell mapping information also
includes information specifying a geographic location served by the service cell based on the location information.
BACKGROUND OF DISCLOSURE
25 [0009] The following description of related art is intended to provide background in-
formation 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. How-
3

ever, it should be appreciated that this section be used only to enhance the understand¬ing of the reader with respect to the present disclosure, and not as admissions of prior art.
[0010] Currently, there are no graphical tools or visual representation mechanisms
5 available for presenting a network performance overview, and a subscriber’s activity
within a network. This prevents to capture, determine, and present information such as
availability of the number of connected subscribers in the network, failure rate of the
connected subscribers, and tracking movement of the subscriber across the network.
Further, due to lack of availability of a graphical representation, information related to
10 additional data attributes of network elements are not promptly determined.
[0011] There is, therefore, a need in the art to provide a dedicated visual presentation means that uses a network map to visually present the overview of the network perfor¬mance and activity of the subscriber(s).
15 SUMMARY
[0012] In an exemplary embodiment, a method for providing visualization of a net-work performance and a subscriber activity within a network is described. The method includes sending, by a user, a request, through a user interface, for obtaining network performance summary and subscriber activity to a user interface server associated with
20 a user interface. The request comprises at least one of user provided subscriber details
and one or more predetermined filters. The method further includes sending the request from the user interface to the user interface server, and forwarding the request to a workflow engine. The method further includes forwarding, from the workflow engine, the request along with user-provided subscriber details and one or more predetermined
25 filters to a computation layer engine associated with the workflow engine. The sub-
scriber details correspond to information associated with one or more subscribers con-nected to cell towers. The method further includes extracting, by the computation layer engine, subscriber data along with connected network data from a distributed file sys¬tem based on the request, the subscriber details and the one or more predetermined
4

filters received from the workflow engine. The method further includes sending, by the
computation layer engine, the extracted subscriber data with connected network data
to the workflow engine via a distributed data lake, where the distributed data lake stores
the extracted subscriber data and the connected network data. The method further in-
5 cludes estimating, by the workflow engine, a user equipment (UE) location in terms of
at least one of a latitude and a longitude, and generating a network map based on the
extracted subscriber data and the connected network data received from the computa¬
tion layer engine. The workflow engine communicates the generated network map
providing an overview of the network performance summary and the subscriber activ-
10 ity to the user interface server. The method further includes rendering, by the user in¬
terface server, the generated network map to the user interface based on the request.
[0013] In some embodiments, extracting subscriber data along with connected network
data from a distributed file system includes enriching at least one of raw data or aggre¬
gated network data, using a normalizer, using the raw data and aggregated network data
15 for extracting subscriber data along with connected network data, and storing at least
one of the raw data or the aggregated network data, in the distributed file system for
use by the computation layer engine.
[0014] In some embodiments, the generated network map includes a plurality of details
including at least one of connected gNodeB (gNBs), subscriber details, and one or more
20 cell towers and the distributed data lake stores the extracted subscriber data and the
connected network data
[0015] In another exemplary embodiment, a system for providing visualization of a
network performance and subscriber activity within the network is described. The sys¬
tem includes a user interface for receiving a request from a user for obtaining the net-
25 work performance summary and the subscriber activity. The system further includes a
workflow engine for estimating subscriber details including user equipment (UE) lo¬
cation in one or more terms of at least one of a latitude and a longitude, and generating
a network map and forwarding the request along with subscriber details and one or
more filters in response to the request. The system further includes a computation layer
5

engine for extracting subscriber data along with connected network data from a distrib¬uted file system and sending the extracted subscriber data along with connected net¬work data to the workflow engine via a distributed data lake.
[0016] In some embodiments, the system further includes a normalizer configured to
5 enrich raw data and store the raw data in the distributed file system for use by the
computation layer engine.
[0017] In some embodiments, the workflow engine generates a network map includes a plurality of details including at least one of connected gNodeB (gNBs), subscriber details, and one or more cell towers.
10 [0018] In yet another exemplary embodiment, a computer program product comprising
a non-transitory computer-readable medium is described. The non-transitory computer-readable medium comprises instructions that, when executed by one or more proces¬sors, cause the one or more processors to perform a method. [0019] The method includes sending, by a user, a request, through a user interface, for
15 obtaining network performance summary and subscriber activity to a user interface
server associated with a user interface. The method further includes sending the request from the user interface server to a workflow engine associated. The method further includes forwarding, from the workflow engine, the request along with subscriber de¬tails and one or more predetermined filters to a computation layer engine associated
20 with the workflow engine. The subscriber details may correspond to information asso-
ciated with one or more subscribers connected to cell towers. The method further in-cludes extracting, by the computation layer engine, subscriber data along with con-nected network data from a distributed file system based on the request, the subscriber details and the one or more predetermined filters received from the workflow engine.
25 The method further includes sending, by the computation layer engine, the extracted
subscriber data with connected network data to the workflow engine via a distributed data lake, where the distributed data lake stores the extracted subscriber data and the connected network data. The method further includes generating, by the workflow en¬gine, a network map based on the extracted subscriber data and the connected network
6

data received from the computation layer engine. The method further includes com¬
municating, by the workflow engine, the generated network map providing an over¬
view of the network performance summary and the subscriber activity to the user in¬
terface server. The method further includes rendering, by the user interface server, the
5 generated network map on the user interface based on the request.
[0020] In yet another exemplary embodiment, a user equipment (UE) configured for
providing visualization of a network performance and subscriber activity within a net¬
work is described. The user equipment includes a processor and a computer readable
storage medium storing programming for execution by the processor. The program-
10 ming includes instructions to send by a user, a request, through a user interface, for
obtaining network performance summary and subscriber activity to a user interface
server associated with a user interface, send the request from the user interface server
to a load balancer unit associated with the user interface server, and forward the request
form the load balancer unit to a workflow engine associated with the load balancer unit,
15 forward from the workflow engine, the request along with subscriber details and one
or more predetermined filters to a computation layer engine associated with the work¬
flow engine, extract by the computation layer engine, subscriber data along with con¬
nected network data from a distributed file system based on the request, the subscriber
details and the one or more predetermined filters received from the workflow engine.
20 The programming also includes instructions to send the extracted subscriber data with
connected network data to the workflow engine via a distributed data lake, where the
distributed data lake stores the extracted subscriber data and the connected network
data, estimate a user equipment (UE) location in terms of at least one of a latitude and
a longitude, and generating a network map based on the extracted subscriber data and
25 the connected network data received from the computation layer engine, forward the
generated network map providing an overview of the network performance summary
and the subscriber activity to the load balancer unit, and forward the generated network
map to the user interface and render the generated network map to the user via the user
interface.
7

[0021] The foregoing general description of the illustrative embodiments and the fol-lowing detailed description thereof are merely exemplary aspects of the teachings of this disclosure, and are not restrictive.
5 OBJECTS OF THE PRESENT DISCLOSURE
[0022] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0023] An object of the present disclosure is to provide a visual presentation means that uses a network map to represent a network performance summary and a subscriber
10 journey.
[0024] An object of the present disclosure is to provide a comprehensive overview of the network performance and subscriber activity through an intuitive visual represen-tation based on the network map. [0025] An object of the present disclosure is to enable quick evaluation of network
15 health by identifying areas of concern such as, but not limited to, high failure rates and
significant subscriber count.
[0026] An object of the present disclosure is to is to visualize subscriber movement patterns on the network map to identify areas for network improvements. [0027] An object of the present disclosure is to allow easy access to important data
20 attributes of the network and provide a handover summary for informed decision-mak-
ing and proactive network management.
[0028] An object of the present disclosure is to improve operational efficiency of the network by enabling effective troubleshooting and providing optimized resource allo-cation for an enhanced subscriber experience.
25 [0029] An object of the present disclosure is to visualize summary of connected g Node
B’s (gNBs) such as, but not limited to, failure rates, connected subscribers, and the like.
BRIEF DESCRIPTION OF DRAWINGS
8

[0030] The accompanying drawings, which are incorporated herein, and constitute a
part of this disclosure, illustrate exemplary embodiments of the disclosed methods and
systems in which like reference numerals refer to the same parts throughout the differ¬
ent drawings. Components in the drawings are not necessarily to scale, emphasis in-
5 stead being placed upon clearly illustrating the principles of the present disclosure.
Some drawings may indicate the components using block diagrams and may not rep¬
resent 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 compo¬
nents, electronic components or circuitry commonly used to implement such compo-
10 nents.
[0031] FIG. 1 illustrates an exemplary network architecture for implementing a system
for providing visualization of a network performance and a subscriber activity within
the network, in accordance with an embodiment of the present disclosure.
[0032] FIG. 2A illustrates an exemplary block diagram of a system for tracking the
15 network performance summary and the subscriber activity within a network, in
accordance with an embodiment of the present disclosure.
[0033] FIG. 2B illustrates a flowchart representing a series of steps for creating a visual
presentation to present the network performance summary and the subscriber activity
within the network, in accordance with an embodiment of the present disclosure.
20 [0034] FIG. 3 illustrates an exemplary process flow representing providing
visualization of network performance and the subscriber activity within the network, in accordance with an embodiment of the present disclosure.
[0035] FIGS. 4 illustrates a flowchart of a method for providing visualization of the
network performance and the subscriber activity within the network, in accordance
25 with an embodiment of the present disclosure.
[0036] FIG. 5 illustrates a computer system in which or with which the embodiments
of the present disclosure may be implemented.
[0037] The foregoing shall be more apparent from the following more detailed
description of the disclosure.
9

LIST OF REFERENCE NUMERALS
100 – Network architecture
102-1, 102-2…102-N – Users
5 104-1, 104-2…104-N – User equipment
106 - Network
108- System
200- Block Representation of System
202- Processor
10 204- Memory
206- User Interface
208- Load Balancer Unit
210- Database
212- Workflow Engine
15 214- Computation Layer Engine
216- Normalizer
218- Method
220-Step
222-Step
20 224-Step
226-Step
228-Step
230-Step
232-Distributed Data Lake
25 234-Distributed File System
300-Implementation of the System
302- User
303-User Interface Server
304-Step
10

306-Step
308-Step
310-Step
311-Step
5 312-Step
313-Raw Network Data
314-Step
316-Step
318-Step
10 320-Step
322-Step
324-Step
326-Step
400-Method
15 402-Step
404-Step
406-Step
408-Step
410-Step
20 412-Step
414-Step
416-Step
500- Computer system
510- External storage device
25 520- Bus
530- Main memory
540- Read only memory
550- Mass Storage Device
560- Communication Port
11

570- Computer System Processor
DETAILED DESCRIPTION OF THE DISCLOSURE
[0038] In the following description, for the purposes of explanation, various specific
5 details are set forth 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 with any combination of other features. An individual feature may not address all of the problems discussed
10 above or might address only some of the problems discussed above. Some of the prob-
lems discussed above might not be fully addressed by any of the features described herein.
[0039] The ensuing description provides exemplary embodiments only, and is not in-tended to limit the scope, applicability, or configuration of the disclosure. Rather, the
15 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 ele¬ments without departing from the spirit and scope of the disclosure as set forth. [0040] Specific details are given in the following description to provide a thorough
20 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 obscure the embodiments in unnecessary detail. In other instances, well-known circuits, processes, algorithms,
25 structures, and techniques may be shown without unnecessary detail in order to avoid
obscuring the embodiments.
[0041] Also, it is noted that individual embodiments may be described as a process which is depicted as a flowchart, a flow diagram, a data flow diagram, a structure dia-
12

gram, or a block diagram. Although a flowchart may describe the operations as a se¬
quential 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
5 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 corre-spond to a return of the function to the calling function or the main function. [0042] 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
10 disclosed herein is not limited by such examples. In addition, any aspect or design de-
scribed herein as “exemplary” and/or “demonstrative” is not necessarily to be con-strued 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,”
15 and other similar words are used in either the detailed description or the claims, such
terms are intended to be inclusive in a manner similar to the term “comprising” as an open transition word without precluding any additional or other elements. [0043] Reference throughout this specification to “one embodiment” or “an embodi¬ment” or “an instance” or “one instance” means that a particular feature, structure, or
20 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 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
25 or more embodiments.
[0044] The terminology used herein is for the purpose of describing particular embod-iments only and is not intended to be limiting of the disclosure. As used herein, the singular forms “a,” “an” and “the” are intended to include the plural forms as well,
unless the context clearly indicates otherwise. It will be further understood that the
13

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
5 term “and/or” includes all combinations of one or more of the associated listed items.
[0045] The aspects of the present disclosure are directed to a method and system for generating/tracking a network performance summary and a subscriber activity within a network. The system of the present disclosure provides a visual presentation of an overview of network performance and the subscriber activity using a network map. The
10 visual presentation may present a concise report of connected gNodeBs (gNBs). For a
specific gNB, the report may include information about but not limited to, failure rate and number of connected subscribers. By utilizing location estimation for a User Equipment (UE), and map layers generated based on cell coverage, a user interface (UI), for example, in the form of a dashboard may visually represent the subscriber’s
15 journey, their movement across different cells, and the like. Further, essential data at-
tributes of the network like volume and handover summary may be displayed on a map layer.
[0046] In an embodiment, the disclosed system and method facilitates integrating net¬work enriched data from a normalizer with a visual representation. The integration
20 involves collecting and aggregating relevant network performance data and subscriber
information.
[0047] In an embodiment, the disclosed system and method enables designing an intu¬itive and user-friendly interface which allows users to easily navigate and access de¬sired information on the network map.
25 [0048] In another embodiment, the disclosed system and method provides a dynamic
display for presenting summary of the connected gNBs. When a user selects a specific
gNB on the map, the visual representation may be dynamically updated to show key
metrics representing information such as failure percentage, connected subscribers, and
other pertinent information specific to that gNB.
14

[0049] In yet another embodiment, the disclosed system and method provides User
Equipment (UE) location estimation and corresponding cell mapping information. The
cell mapping information includes information associated with a base station identifier
to identify the base station to which the UE is connected, a cell identifier to identify the
5 service cell of the base station to which the UE is connected, and the geographical
location of the UE connected to the service cell of the base station. The cell mapping information also includes information specifying a geographic location served by the service cell based on the location information and maps the service cell to the geo-graphic cell according to the specified geographic location. UE location estimation
10 techniques (e.g., utilizing Latitude (LAT)/Longitude (LONG) data) are implemented
and a cell coverage map layer is generated which involves use of algorithms and meth-odologies to accurately estimate subscriber locations and map their journey onto the network map. In addition, the journey of the user along with their movement across different cells is represented visually.
15 [0050] In yet another embodiment, the disclosed system and method facilitates a raw
data attribute integration, where critical attributes such as volume, handover summary, and other relevant information from raw records are integrated onto a map layer. This may allow the users to access and analyze detailed data directly on the network map, enhancing their understanding of the network performance and subscriber behaviour.
20 [0051] As may be appreciated, the visual representation may be effectively used to
display the comprehensive network performance summary to enable subscriber jour-ney visualization, display of dynamic gNB summaries upon selection, leveraging the UE location estimation for accurate mapping, and integrating important raw data at-tributes for providing enhanced insights.
25 [0052] The various embodiments throughout the disclosure will be explained in more
detail with reference to FIGs. 1-5.
[0053] Referring to FIG. 1, FIG. 1 illustrates an exemplary network architecture for
implementing a system for tracking a network performance summary and subscriber
activity within the network, in accordance with an embodiment of the present
15

disclosure.
[0054] Referring to FIG. 1, a network architecture (100) may include one or more com¬
puting devices or user equipment (104-1, 104-2…104-N) (used interchangeably with
the term “user device”) associated with one or more users (102-1, 102-2…102-N) in
5 an environment. A person of ordinary skill in the art will understand that one or more
users (102-1, 102-2…102-N) may be individually referred to as the user (102) and col¬
lectively referred to as the users (102). Similarly, a person of ordinary skill in the art
will understand that one or more user equipment (104-1, 104-2…104-N) may be indi¬
vidually referred to as the user equipment (104) and collectively referred to as the user
10 equipment (104). A person of ordinary skill in the art will appreciate that the terms
“computing device(s)” and “user equipment” may be used interchangeably throughout
the disclosure. Although two user equipment (104) are depicted in FIG. 1, however any
number of the user equipment (104) may be included without departing from the scope
of the ongoing description.
15 [0055] In an embodiment, the user equipment (104) may include, but is not limited to,
a handheld wireless communication device (e.g., a mobile phone, a smart phone, a pha-
blet device, and so on), a wearable computer device (e.g., a head-mounted display com¬
puter device, a head-mounted camera device, a wristwatch computer device, and so
on), a global positioning system (GPS) device, a laptop computer, a tablet computer,
20 or another type of portable computer, a media playing device, a portable gaming sys-
tem, and/or any other type of computer device with wireless communication capabili¬
ties, and the like. In an embodiment, the user equipment (104) may include, but is not
limited to, any electrical, electronic, electro-mechanical, or an equipment, or a combi¬
nation of one or more of the above devices such as virtual reality (VR) devices, aug-
25 mented reality (AR) devices, laptop, a general-purpose computer, desktop, personal
digital assistant, tablet computer, mainframe computer, or any other computing device,
where the user equipment (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, an audio
aid, a microphone, a keyboard, and input devices for receiving input from the user (102)
16

or the entity such as touch pad, touch enabled screen, electronic pen, and the like. A
person of ordinary skill in the art will appreciate that the user equipment (104) may not
be restricted to the mentioned devices and various other devices may be used.
[0056] In an embodiment, the user equipment (104) may include smart devices oper-
5 ating in a smart environment, for example, an Internet of Things (IoT) system. In such
an embodiment, the user equipment (104) may include, but is not limited to, smart
phones, smart watches, smart sensors (e.g., mechanical, thermal, electrical, magnetic,
etc.), networked appliances, networked peripheral devices, networked lighting system,
communication devices, networked vehicle accessories, networked vehicular devices,
10 smart accessories, tablets, smart television (TV), computers, smart security system,
smart home system, other devices for monitoring or interacting with or for the users (102) and/or entities, or any combination thereof. A person of ordinary skill in the art will appreciate that the user equipment (104) may include, but is not limited to, intelli-gent, multi-sensing, network-connected devices, that can integrate seamlessly with
15 each other and/or with a central server or a cloud-computing system or any other device
that is network-connected.
[0057] Referring to FIG. 1, the user equipment (104) may communicate with the sys-tem (108) through a network (106). In an embodiment, the network (106) may include at least one of a Fifth Generation (5G) network, 6G network, or the like. The network
20 (106) may enable the user equipment (104) to communicate with other devices in the
network architecture (100) and/or with the system (108). The network (106) may in-clude a wireless card or some other transceiver connection to facilitate this communi-cation. In another embodiment, the network (106) may be implemented as, or include any of a variety of different communication technologies such as a wide area network
25 (WAN), a local area network (LAN), a wireless network, a mobile network, a virtual
private network (VPN), the Internet, the public switched telephone network (PSTN), or the like. In an embodiment, each of the UE (104) may have a unique identifier at-tribute associated therewith. In an embodiment, the unique identifier attribute may be
17

indicative of mobile station international subscriber directory number (MSISDN), in-ternational mobile equipment identity (IMEI) number, international mobile subscriber identity (IMSI), subscriber permanent identifier (SUPI) and the like.
[0058] Although FIG. 1 shows exemplary components of the network architecture
5 (100), in other embodiments, the network architecture (100) may include fewer com-
ponents, different components, differently arranged components, or additional func¬
tional components than depicted in FIG. 1. Additionally, or alternatively, one or more
components of the network architecture (100) may perform functions described as be¬
ing performed by one or more other components of the network architecture (100).
10 [0059] FIG. 2A illustrates a block diagram representation (200) of the system (108) for
tracking a network performance summary and subscriber activity within a network,
according to an embodiment of the present invention. In an aspect, the system (108)
may include one or more processor(s) (202) and a memory (204). The one or more
processor(s) (202) may be implemented as one or more microprocessors, microcom-
15 puters, microcontrollers, edge or fog microcontrollers, digital signal processors, central
processing units, logic circuitries, and/or any devices that process data based on oper¬
ational instructions. Among other capabilities, the one or more processor(s) (202) may
be configured to fetch and execute computer-readable instructions stored in a memory
(204) of the system (108). The memory (204) may be configured to store one or more
20 computer-readable instructions or routines in a non-transitory computer readable stor¬
age medium, which may be fetched and executed to create or share data packets over
a network service. The memory (204) may include any non-transitory storage device
including, for example, volatile memory such as random-access memory (RAM), or
non-volatile memory such as erasable programmable read-only memory (EPROM),
25 flash memory, and the like.
[0060] The memory (204) may include, for example, a hard disk drive and/or a remov-able storage drive, representing a floppy disk drive, a magnetic tape drive, a compact disk drive, a program cartridge and cartridge interface (such as that found in video
game devices), a removable memory chip (such as EPROM or PROM), and the like,
18

which is read by and written to by removable storage unit. As will be appreciated, the
removable storage unit includes a computer usable storage medium having stored
therein computer software and/or data. The removable storage drive reads from and/or
writes to a removable storage unit in a well-known manner. The removable storage
5 unit, also called a program storage device or a computer program product, represents a
floppy disk, magnetic tape, compact disk, etc. The computer programs (also called computer control logic) are stored in main memory (204). Such computer programs, when executed, enable the system (108) to perform the functions of the present disclo¬sure as discussed herein. In particular, the computer programs, when executed, enable
10 the one or more processor (202) to perform the functions of the present disclosure.
Accordingly, such computer programs represent controllers of the system (108). [0061] Referring to FIG. 2, the system (108) may also include a user interface(s) (206). The user interface(s) (206) may include a variety of interfaces, for example, interfaces for data input and output devices, referred to as I/O devices, storage devices, and the
15 like. The user interface(s) (206) may facilitate communication to/from the system
(108). The user interface(s) (206) may also provide a communication pathway for one or more components of the system (108). Examples of such components include, but are not limited to, a database (210). [0062] In an embodiment, the system (108) may include the machine-readable storage
20 medium storing the instructions and the processing resource to execute the instructions,
or the machine-readable storage medium may be separate but accessible to the system (108) and the processing resource. In other examples, the system (108) may be imple-mented by electronic circuitry. [0063] In an embodiment, the system (108) may include one or more databases such
25 as databases (210). In an embodiment, the database (210) includes data that may be
either stored or generated because of functionalities implemented by any of the com-ponents of the processor (202) or the processing engines (208). In an embodiment, the database (210) may be separate from the system (108). In an embodiment, the database
19

(210) may be indicative of including, but not limited to, a relational database, a distrib¬
uted database, distributed file sharing system, a cloud-based database, or the like.
[0064] In an exemplary embodiment, the system (108) may include one or more en¬
gines selected from any of a load balancer unit (208), a work flow engine (212), a
5 computation layer engine (214), a normalizer (216), and one or more other engines
having functions that may include, but are not limited to, testing, storage, and periph-eral functions, such as wireless communication unit for remote operation, audio unit for alerts and the like, as described in FIG. 3. [0065] The user interface (206) is configured for receiving a request from user for
10 obtaining network performance summary and subscriber journey. As used herein the
term “network performance summary” refers to a comprehensive summaries or analyses of measures of service quality of a network as seen by the customer. There are many different ways to measure the performance of a network, as each network is different in nature and design. The network performance metrics are quantitative
15 measurements used to evaluate and monitor the performance and reliability of a
computer network. In several embodiments, the various modules associated with embodiments of the present disclosure, such as the load balancer unit (208), the workflow engine (212), the computation layer engine (214) and the normalizer (216) may be implemented as a hardware. In several other embodiments the modules may
20 be implemented as computer executable modules. The load balancer unit (208) is
configured for forwarding the request to the workflow engine (212) and forwarding a generated network map providing an overview of the network performance summary and a subscriber activity to the user interface (206). In several embodiments, the load balancer unit (208) monitors network traffic while blocking malicious content and
25 automatically redirects attack traffic to multiple backend servers to minimize impact.
The load balancer unit (208) also routes traffic through a group of network firewalls
for additional security. The workflow engine (212) is configured for forwarding the
request along with subscriber details and one or more predetermined filters. The
subscriber details correspond to information associated with one or more subscribers
20

connected to cell towers. The one or more predetermined filters refers to properties of
a subscriber that enables that subscriber to receive only that content that meets certain
criteria. The predetermined filters can be used to exclude content that the subscriber is
not interested in, or that the subscriber's computing resources cannot handle. The
5 predetermined filters can be defined based on the entry type, or one or more name/value
pairs that are defined for the content. The predetermined filters enable the subscriber to receive all the content that meets the filter criteria, or an exclude filter, which means that the subscriber receives all content that does not meet the filter criteria. The workflow engine (212) estimates user equipment (UE) location in one or more terms
10 of at least one of: a latitude and a longitude, and generates a network map. The
computation layer engine (214) is configured for extracting subscriber data along with connected network data from a distributed file system (234) and sending the extracted subscriber data along with connected network data to the workflow engine (212) via a distributed data lake.(232) According to one embodiment of the present technology,
15 the system further comprises a normalizer (216) to enrich raw data and store the raw
data in the distributed file system (234) for use by the computation layer engine (214). According to one embodiment of the present technology, the workflow engine (212) generates the network map including a plurality of details comprising at least one of connected gNodeB (gNBs), subscriber details, and one or more cell towers.
20 [0066] FIG. 2B illustrates a flowchart (218) representing a series of steps for
creating a visual presentation means to present an overview of the network performance and subscriber activity within the network, according to an embodiment of the present disclosure. [0067] At step (220), the process begins.
25 [0068] At step (222), a request for subscriber journey and network performance sum-
mary is sent.
[0069] As is illustrated, at step (224), data from various sources within a network in-frastructure may be collected. This may include information from base stations called
the gNBs, and records related to the UE activities such as location, handovers, and
21

volume of data, and the like. The data may be such as raw data or aggregated network
data received from the distributed file system (234) that stores enriched data as received
from the normalizer (216). The aggregated network data refers to raw data expressed
in a summary form for statistical analysis. For example, raw data can be aggregated
5 over a given time period to provide statistics such as average, minimum, maximum,
sum, and count. After the data is aggregated and written to a view or report, you can analyze the aggregated data to gain insights about particular resources or resource groups.
[0070] At step (226), the location of the user equipment (UE) latitude/longitude
10 (LAT/LOG) may be estimated by the workflow engine (212) (used interchangeably
throughout with the term “workflow manager”) based on a signal strength and estima¬tion of nearby connected cell towers.
[0071] At step (228), for a given time range, all data points for the subscriber and con¬
nected network data may be collected. This is accompanied with generation of the net-
15 work map layer. As used herein the term subscriber data may refer to for example, all
the necessary information the system ought to know to perform the service such as user
identities (e.g., MSISDN, IMSI), service data (e.g., service profile in IMS), temporary
data such as the SGSN (serving GPRS support node) address, user status, and authen¬
tication data. This subscriber data has a lifetime as long as the user is permitted to use
20 the service and may be modified by administrative means. Following is an example of
data points for a given time range:
Subscriber usage per month: 150 minutes
Days per month: 24
Busy hours per day: 6
25 Allocated spectrum: 4.8 MHz
Frequency reuse plan: 4/12
RF channel width: 200 kHz (full rate)
Present number of subscribers in a zone: 50,000
22

[0072] In addition, at step (230), information related to a cell coverage map layer gen¬
eration, the subscriber journey with cell mapping along with other attributes is stored
in a distributed data lake (232) to provide a visual representation for analyzing the ag¬
gregated information.
5 [0073] FIG. 3 illustrates an exemplary process flow (300) representing a method of
tracking of the network performance and subscriber activity within a network, in accordance with an embodiment of the present disclosure.
[0074] In an embodiment, data from various sources within a network infrastructure may be collected. The data may include information from base stations called the
10 gNBs, and records related to the UE activities such as location, handovers, and volume
of data. The UI may display a network map that shows locations of the gNBs. When a specific gNB is selected, relevant metrics associated with that gNB are displayed. These metrics may include a failure rate (indicating how often the gNB encounters issues), and the number of connected subscribers at that gNB. Also, the UE location
15 estimation techniques may be used to determine an approximate location of each
connected subscriber. This information is crucial for mapping subscriber’s movement across different cells within the network.
[0075] Further, based on the coverage areas of the gNBs and the estimated UE loca-tions, the UI may generate map layers that visually represent the subscriber’s journey.
20 These layers may indicate the cells that the subscribers have moved through by provid-
ing a visual representation of their movement. Along with the map layers, the user interface (UI) may provide easy access to essential data attributes. This may include information like volume (e.g., indicating an amount of data transferred) and handover summaries (e.g., showing a number of times the UE switched between cells) extracted
25 from the raw records. The relevant information may be displayed on the map layer,
allowing the users to see the data attributes at specific locations.
[0076] Also, network performance metrics, subscriber activity data, and visual repre-sentation may be combined to provide a comprehensive overview of network perfor-
23

mance and subscriber behavior. The visual representation may allow the users to ana-lyze and understand the network status, identify potential issues, and optimize network performance based on the displayed information.
[0077] Further, a comprehensive overview of the network performance and subscriber
5 activity may be provided through an intuitive visual representation, and the network
map is provided for quick evaluation of network health and identifying areas of con-cern, such as high failure rates and significant subscriber count. The visual representa-tion facilitates to visualize subscriber movement patterns on the map to identify areas for network improvements by providing easy access to important data attributes for
10 informed decision-making and proactive network management. This provides an im-
proved efficiency, effective troubleshooting, and optimized resource allocation for an enhanced subscriber experience.
[0078] Referring to FIG. 3, at step (304), a user (302) may send a request for obtaining network performance summary and subscriber journey to a user interface server (303).
15 The user interface (206) may receive the request from the user for obtaining the net-
work performance summary and the subscriber journey.
[0079] At step (306), the request may be sent to the load balancer unit (208), which may forward the request to an appropriate workflow engine (212) (for example, xProbe, the xProbe is a network monitoring tool that provides and manages the workflow, and
20 provides visual insights of network), at step (308). As used herein the term “network
performance summary” refers to a comprehensive summaries or analyses of measures of service quality of a network as required by a customer. There are many different ways to measure the performance of a network, as each network is different in nature and design. The network performance metrics are quantitative measurements used to
25 evaluate and monitor the performance and reliability of a computer network. The per-
formance of a network and reliability can be measured by various metrics, such as bandwidth, latency, jitter, packet loss, throughput, error rate, uptime, downtime, and mean time to repair. Each metric reflects a different aspect of your network's function¬ality and quality.
24

[0080] At step (310), the workflow engine (212) may forward the request along with subscriber details and one or more predetermined filters to the computation layer en-gine (214).
[0081] At step (311), the workflow engine (212) collects information associated with
5 the subscribers connected to the cell towers, time, and UE positions (such as latitude
and longitude).
[0082] At step (312), the computation layer engine (214), may extract subscriber data along with connected network data from the distributed file system (234). In some em¬bodiments, the normalizer (216) may enrich raw network data (313) at steps (314),
10 (316) and store it in the distributed file system (234) for subsequent use by the compu-
tation layer engine (214).
[0083] The computation layer engine (214) extracts the subscriber data along with con¬nected network data from the distributed file system (234) and sends the extracted sub¬scriber data along with connected network data to the workflow engine (212) via a
15 distributed data lake (232).
[0084] At step (318), the computation layer engine (214) may send the computed data, i.e., the extracted subscriber data along with connected network data to the workflow engine (212) via the distributed data lake (232). [0085] Thereafter, at step (320), the workflow engine (212), based on the computed
20 data from the computation layer engine (214), may estimate UE location in terms of
latitude and longitude and generate a network map.
[0086] The workflow engine (212) may generate a network map providing all relevant details, i.e., connected gNBs, subscriber details, cell towers, etc. [0087] At step (322) and (324), the generated network map providing an overview of
25 the network performance summary and the subscriber journey may be provided to the
user interface (206), and finally, to the user (302), via the load balancer unit (208).
[0088] FIG. 4 illustrate a flowchart of a method (400) for tracking a network
performance summary and subscriber activity within the network, according to an
embodiment of the present invention.
25

[0089] At step (402), a request is sent by a user through the user interface (206), to a
user interface server associated with the user interface (206). The request is for
obtaining the network performance summary and subscriber journey. In examples, the
request may include information seeking network map covering a network
5 performance summary and subscriber activities. For example, the request includes at
least one of user-provided subscriber details and one or more predetermined filters. [0090] At step (404), the request is sent from the user interface server to the workflow engine (212). [0091] At step (406), the request along with user-provided subscriber details and one
10 or more predetermined filters is forwarded from the workflow engine (212) to the
computation layer engine (214). The one or more predetermined filters may include for example, data filters that filter the subscribers based on subscribers' custom data field(s). The subscriber details refer to information such as, name, street address, telephone number, email address, or similar contact information provided by the
15 subscriber to the provider to establish or maintain an account or communication
channel, a subscriber or account number or identifier, the length of service, and the types of services. In current context, the subscriber details may correspond to information associated with one or more subscribers connected to cell towers. [0092] At step (408), subscriber data along with connected network data is extracted
20 by the computation layer engine (214), from the distributed file system (234) based on
the request, the subscriber details and the one or more predetermined filters received from the workflow engine (212).
[0093] At step (410), the extracted subscriber data is sent by the computation layer engine (214) along with connected network data to the workflow engine (212) via a
25 distributed data lake, where the distributed data lake stores the extracted subscriber data
and the connected network data.
[0094] At step (412), a network map based on the extracted subscriber data and the
connected network data received from the computation layer engine (214) is generated
by the workflow engine (212).
[0095] At step (414), the generated network map providing an overview of the network performance summary and the subscriber activity is communicated to the user interface server (303) by the workflow engine.
[0096] At step (416), the generated network map is rendered by the user interface
5 server (303) on the user interface (206) based on the request.
[0097] According to one embodiment of the present disclosure, enriching at least one
of raw data or aggregated network data, using a normalizer and storing at least one of
the raw data or the aggregated network data, in the distributed file system for use by
the computation layer engine (214).
10 [0098] According to one embodiment of the present disclosure, the generated network
map includes a plurality of details including at least one of connected gNodeB (gNBs), subscriber details, and one or more cell towers.
[0099] In an exemplary embodiment, the present disclosure discloses the user equip¬
ment (UE) (104) configured for tracking a network performance summary and sub-
15 scriber activity within a network. The user equipment includes the processor (202) and
a computer readable storage medium storing programming for execution by the pro¬
cessor (202). The programming includes instructions to send by a user, a request,
through a user interface, for obtaining network performance summary and subscriber
activity to a user interface server associated with a user interface. The request is then
20 sent from the user interface server to a load balancer unit associated with the user in¬
terface server. The request is forwarded form the load balancer unit to a workflow en¬
gine associated with the load balancer unit. The workflow engine determines sub¬
scriber details and one or more predetermined filters and forwards the request along
with the determined subscriber details and the one or more predetermined filters to a
25 computation layer engine. The computation layer engine extracts subscriber data along
with connected network data from a distributed file system based on the request, the
subscriber details and the one or more predetermined filters received from the work¬
flow engine. The extracted subscriber data with connected network data is forwarded
to the workflow engine via a distributed data lake, where the distributed data lake stores
27

the extracted subscriber data and the connected network data, estimate a user equip¬
ment (UE) location in terms of at least one of a latitude and a longitude. A network
map is generated based on the extracted subscriber data and the connected network
performance data received from the computation layer engine. The generated network
5 map providing an overview of the network performance summary and the subscriber
activity is forwarded to the user interface for rendering the generated network map to the user via the load balancer unit.
[00100] FIG. 5 illustrates an exemplary computer system (500) in which or with
which embodiments of the present disclosure may be implemented. As shown in FIG.
10 5, the computer system (600) may include an external storage device (510), a bus (520),
a main memory (530), a read-only memory (540), a mass storage device (550), a com¬
munication port (560), and a processor (570). A person skilled in the art will appreciate
that the computer system (500) may include more than one processor (570) and com¬
munication ports (560). The processor (570) may include various modules associated
15 with embodiments of the present disclosure.
[00101] In an embodiment, the communication port (560) may be any of an RS-
232 port for use with a modem-based dialup connection, a 10/100 Ethernet port, a Gi¬
gabit or 10 Gigabit port using copper or fibre, a serial port, a parallel port, or other
existing or future ports. The communication port (560) may be chosen depending on
20 the network (506), such a Local Area Network (LAN), Wide Area Network (WAN),
or any network to which the computer system (500) connects.
[00102] In an embodiment, the memory (530) may be Random Access Memory
(RAM), or any other dynamic storage device commonly known in the art. Read-only
memory (540) may be any static storage device(s) e.g., but not limited to, a Program-
25 mable Read Only Memory (PROM) chips for storing static information e.g., start-up
or Basic Input/Output System (BIOS) instructions for the processor (570).
[00103] In an embodiment, the mass storage (550) may be any current or future
mass storage solution, which may be used to store information and/or instructions. Ex-
28

emplary mass storage solutions include, but are not limited to, Parallel Advanced Tech¬
nology 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), one or more optical discs, Redundant Array of In-
5 dependent Disks (RAID) storage, e.g., an array of disks (e.g., SATA arrays).
[00104] In an embodiment, the bus (520) communicatively couples the proces-
sor(s) (670) with the other memory, storage, and communication blocks. The bus (620) 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
10 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).
[00105] Optionally, operator and administrative interfaces, e.g., a display, key-
board, joystick, and cursor control device, may also be coupled to the bus (520) to
15 support direct operator interaction with the computer system (500). Other operator and
administrative interfaces may be provided through network connections connected through the communication port (560). The components described above are meant only to exemplify various possibilities. In no way should the aforementioned exem-plary computer system (500) limit the scope of the present disclosure.
20
TECHNICAL ADVANCEMENT OF THE PRESENT DISCLOSURE
[00106] The present disclosure provides technical advancement compared to ex-
isting art by providing a visual representation means that uses a network map to repre¬
sent a network performance summary and a subscriber journey. The present disclosure
25 facilitates providing a comprehensive overview of the network performance and sub-
scriber activity through an intuitive visual presentation and the network map. The pre-sent disclosure enables quick evaluation of network health by identifying areas of con¬cern, such as high failure rates and significant subscriber count. The present disclosure
facilitates visualizing subscriber movement patterns on the network map to identify
29

areas for network improvements. The present disclosure facilitates easy access to im¬
portant data attributes of the network and provides a handover summary for informed
decision-making and proactive network management. The present disclosure facilitates
to improve operational efficiency of the network by enabling effective troubleshooting
5 and providing optimized resource allocation for an enhanced subscriber experience.
The present disclosure facilitates visualizing summary of connected g Node B’s (gNBs)
such as, but not limited to, failure rates, connected subscribers, and the like.
[00107] While considerable emphasis has been placed herein on the preferred
embodiments, it will be appreciated that many embodiments can be made and that
10 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 descriptive matter to be implemented merely as illustrative of the disclosure and not as limitation.
15
ADVANTAGES OF THE PRESENT DISCLOSURE
[00108] The present disclosure provides a system and method for tracking a net-
work performance summary and subscriber activity within the network.
20 [00109] The present disclosure provides a visual representation means that uses
a network map to represent a network performance summary and a subscriber journey.
[00110] The present disclosure provides a system and a method that facilitates
to provide a comprehensive overview of the network performance and subscriber ac-tivity through an intuitive visual presentation and the network map.
25 [00111] The present disclosure provides a system and a method that facilitates
to enable quick evaluation of network health by identifying areas of concern, such as high failure rates and significant subscriber count.
30

[00112] The present disclosure provides a system and a method that facilitates
to visualize subscriber movement patterns on the network map to identify areas for network improvements.
[00113] The present disclosure provides a system and a method that facilitates
5 easy access to important data attributes of the network and provides a handover sum-
mary for informed decision-making and proactive network management.
[00114] The present disclosure facilitates to improve operational efficiency of
the network by enabling effective troubleshooting, and providing optimized resource
allocation for an enhanced subscriber experience.
10 [00115] The present disclosure facilitates to visualize summary of connected g
Node B’s (gNBs) such as, but not limited to, failure rates, connected subscribers, and the like.
31

WE CLAIM:
5 1. A method (400) for providing visualization of a network performance s and a sub-
scriber activity within a network, the method comprising:
sending (402), by a user (302), a request, through a user interface (206), to a user
interface server (303), wherein the request comprises at least one of user-provided sub¬
scriber details and one or more predetermined filters;
10 sending (404) the request from the user interface server (303) to a workflow en-
gine (212);
forwarding (406), from the workflow engine (212), the request along with the
user-provided subscriber details and one or more predetermined filters to a computation
layer engine (214);
15 extracting (408), by the computation layer engine (214), subscriber data along
with connected network data from a distributed file system (234) based on the request, the subscriber details and the one or more predetermined filters;
sending (410), by the computation layer engine (214), the extracted subscriber
data along with the connected network data to the workflow engine (212) via a distrib-
20 uted data lake (232);
generating (412), by the workflow engine (212), a network map based on the extracted subscriber data and the connected network data received from the computa-tion layer engine (214);
communicating (414), by the workflow engine (212), the generated network map
25 providing an overview of the network performance summary and the subscriber activ-
ity to the user interface server (303); and
rendering (416), by the user interface server (303), the generated network map on the user interface (206) based on the request.
32

2. The method (400) of claim 1, wherein extracting subscriber data along with con-nected network data from a distributed file system comprises:
enriching at least one of raw data and aggregated network data associated with
the user provided subscriber details, using a normalizer (216), wherein the subscriber
5 details correspond to information associated with one or more subscribers connected
to cell towers;
using the raw data and aggregated network data for extracting subscriber data along with connected network data; and
storing at least one of the raw data and the aggregated network data, in the dis-
10 tributed file system (234) for use by the computation layer engine (214).
3. The method (400) of claim 1, wherein the generated network map comprises a plu¬
rality of details comprising at least one of connected gNodeB (gNBs), the subscriber
details, and one or more cell towers and wherein the distributed data lake (232) stores
15 the extracted subscriber data and the connected network data.
4. A system (108) for providing visualization of a network performance and a sub¬
scriber activity within the network, the system (108) comprising:
a user interface (206) for receiving a request from a user for obtaining the net-
20 work performance summary and the subscriber activity, wherein the request comprises
at least one of user provided subscriber details and one or more predetermined filters;
the workflow engine (212) for estimating subscriber details including a user
equipment (UE) location in one or more terms of at least one of a latitude and a longi¬
tude, forwarding the request along with subscriber details and one or more filters to a
25 computation layer engine (214), and generating a network map, in response to the re-
quest; and
33

the computation layer engine (214) for extracting subscriber data along with con-nected network data from a distributed file system (234) and sending the extracted sub-scriber data along with connected network data to the workflow engine (212) via a distributed data lake (232). 5
5. The system (108) of claim 4, further comprising a normalizer (216) to enrich raw data and store the raw data associated with the user provided subscriber details in the distributed file system (234) for use by the computation layer engine (214).
10 6. The system (108) of claim 1, wherein the workflow engine (212) generates the net-
work map comprising a plurality of details comprising at least one of connected gNodeB (gNBs), subscriber details, and one or more cell towers.
8. A user equipment (UE) (104) configured for providing visualization of a network
15 performance and a subscriber activity within a network, the user equipment (104) com-
prising:
a processor (202); and
a computer readable storage medium storing programming for execution by the
processor (202), the programming including instructions to:
20 send (402), a request, through a user interface (206), for obtaining the network
performance summary and the subscriber activity to a user interface server (303) asso-ciated with the user interface (206); and
render a network map, through the user interface (206) providing network per¬
formance summary and the subscriber activity to the user; wherein the network map is
25 generated based on the subscriber data extracted from a distributed file system (234)
and the connected network data received from a computation layer engine (214) as claimed in claim