FORM 2
THE PATENTS ACT, 1970 (39 OF 1970) & THE PATENT RULES, 2003
COMPLETE SPECIFICATION
(See section 10 and rule 13)
“METHOD AND SYSTEM FOR DETERMINING A SET OF TARGET
BACKHAUL LOCATIONS”
We, Jio Platforms Limited, an Indian National, of Office - 101, Saffron, Nr. Centre Point, Panchwati 5 Rasta, Ambawadi, Ahmedabad - 380006, Gujarat, India.
The following specification particularly describes the invention and the manner in which it is to be performed.

METHOD AND SYSTEM FOR DETERMINIG A SET OF TARGET BACKHAUL
LOCATIONS
FIELD OF THE DISCLOSURE
[0001] The present disclosure relates generally to the field of wireless communication systems. More particularly, the present disclosure relates to methods and systems for determining a set of target backhaul locations enabling cost effective technique of determining line of sight (LOS) feasibility and Fresnel zone clearance for Microwave and Unlicensed Band Radio (UBR) link deployment for a wireless backhaul solution to a network cell in a telecommunication network.
BACKGROUND
[0002] The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated 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.
[0003] Wireless communication technology has rapidly evolved over the past few decades, with each generation bringing significant improvements and advancements. The first generation of wireless communication technology was based on analog technology and offered only voice services. However, with the advent of the second generation (2G) technology, digital communication and data services became possible, and text messaging was introduced. Third Generation (3G) technology marked the introduction of high-speed internet access, mobile video calling, and location-based services. The fourth generation (4G) technology revolutionized wireless communication with faster data speeds, better network coverage, and improved security. Currently, the fifth generation (5G) technology is being deployed, promising even faster data speeds, low latency, and the ability to connect multiple devices simultaneously. With each generation, wireless communication technology has become more advanced, sophisticated, and capable of delivering more services to its users. In the above-mentioned network technologies (2G,

3G, 4G, etc.), various components of the network are to be deployed at certain locations (such as backhaul locations). These locations are determined strategically based on various tools such as RF planning tool and other techniques.
[0004] The backhaul location placement refers to the strategic placement of network components that facilitate the efficient transmission of data between the core network and the access network. It is of utmost importance to accurately identify the backhaul location in order to optimize network performance, minimize latency, and ensure seamless connectivity for end-users. However, existing solutions rely on manual identification/ determination processes that are time-consuming, error-prone, and lack scalability. These processes often involve complex network mapping, physical inspection, and reliance on outdated documentation, resulting in inefficiencies, delays, and increased costs for network operators. Therefore, there is a need for an automated and accurate system that can precisely determine a set of target backhaul locations in a telecommunication network, streamlining operations and enhancing overall network performance.
[0005] Further, over the period of time various solutions have been developed to improve the performance of communication devices and to determine target backhaul location(s). However, there are certain challenges with existing solutions. Firstly, the current manual identification methods heavily rely on human intervention and expertise, which introduces the potential for human error and inconsistency. Moreover, these methods often require physical inspections of network infrastructure, which can be time-consuming, costly, and disruptive to network operations. Additionally, the reliance on outdated documentation and network maps can lead to inaccuracies and inconsistencies in identifying the precise location of the backhaul components. Furthermore, the increasing complexity and scale of modern telecommunication networks make manual identification impractical, as it becomes challenging to maintain an up-to-date and comprehensive view of the network topology.
[0006] Thus, there exists an imperative need in the art to automatically determine a backhaul location, which the present disclosure aims to address.
OBJECTS OF THE DISCLOSURE

[0007] Some of the objects of the present disclosure, which at least one embodiment disclosed herein satisfies are listed herein below.
[0008] It is an object of the present disclosure to provide a system and a method for automatically determining a target backhaul location.
[0009] It is another object of the present disclosure to provide a solution that identifies one or more backhaul locations in a predefined range based on the identification of a target input location.
[0010] It is yet another object of the present disclosure to provide a solution that determines a line of sight for each backhaul location from the one or more backhaul locations associated with the target input location.
[0011] It is yet another object of the present disclosure to provide a solution that determines the target backhaul location from the one or more backhaul locations associated with the target input location based on determining the line of sight for each backhaul location.
SUMMARY OF THE DISCLOSURE
[0012] This section is provided to introduce certain implementations of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.
[0013] An aspect of the present disclosure relates to method for determining a set of target backhaul locations. The method comprises receiving, by a transceiver unit, at least a geographical location data associated with a set of input location data. The method further comprises identifying, via an identification unit, by a processing unit, a target input location based on the set of input location data. The method further comprises identifying, via the identification unit, by the processing unit, one or more backhaul locations in a predefined range of the target input location. The method further comprises determining, via a determination unit, by the processing unit, at

least one of: a distance, a line of sight (LOS), and clearance of a predefined Fresnel zone from the target input location to the one or more backhaul locations. The method also comprises identifying, via the identification unit, by the processing unit, a set of target backhaul locations from the one or more backhaul locations based on at least one of: the distance, the line of sight, and clearance of the predefined Fresnel zone from the target input location to the one or more backhaul locations.
[0014] In an exemplary aspect of the present disclosure, the method further comprises assigning, via an assigning unit, by the processing unit, a rank to each backhaul location from the set of target backhaul locations based on at least one of: the distance, the line of sight (LOS), and the clearance of predefined Fresnel zone from the target input location to each of the set of target backhaul locations.
[0015] In an exemplary aspect of the present disclosure, the geographical location data comprises at least one of: a terrain data and 3-dimensional (3D) building data.
[0016] In an exemplary aspect of the present disclosure, the target input location is identified based on one or more pre-defined parameters associated with the target input location, wherein the one or more pre-defined parameters is at least one of: an availability of an installation point parameter, a height of the installation point parameter, a latitude parameter of the installation point, and a longitude parameter of the installation point. It is to be noted that the availability of the installation point parameter indicates whether a specific point of installation is ready and suitable for deploying of a cell site at the target input location. It is to be noted that the height of the installation point refers to elevation for deploying the cell site at the target input location. It is to be noted that the latitude of the installation point parameter specifies the geographical north-south position for deploying the cell site at the target input location. It is to be noted that the longitude of the installation point parameter specifies the geographical east-west position for deploying the cell site at the target input location.
[0017] In an exemplary aspect of the present disclosure, the set of target backhaul locations facilitates deployment of a network cell at the target input location by using at least one of: a microwave and unlicensed band radio links.

[0018] Another aspect of the present disclosure relates to a system for determining a set of target
backhaul locations. The system comprises a transceiver unit configured to receive at least a
geographical location data associated with a set of input location data. The system further
5 comprises a processing unit connected to at least the transceiver unit. The processing unit is
configured to identify, via an identification unit, a target input location based on the set of input location data. The processing unit is further configured to identify, via the identification unit, one or more backhaul locations in a predefined range of the target input location. The processing unit is further configured to determine, via a determination unit, at least one of: a distance, a line of
10 Sight (LOS), and clearance of a predefined Fresnel zone from the target input location to the one
or more backhaul locations. The processing unit is also configured to identify, via the identification unit, a set of target backhaul locations from the one or more backhaul locations based on at least one of: the distance, the line of sight, and the clearance of the predefined Fresnel zone from the target input location to the one or more backhaul locations.
15
[0019] Another aspect of the present disclosure may relate to a non-transitory computer-readable storage medium storing instruction for determining a set of target backhaul locations, the storage medium comprising executable code which, when executed by one or more units of a system, causes: a transceiver unit to receive at least a geographical location data associated with a set of
20 input location data; and a processing unit to identify, via an identification unit, a target input
location based on the set of input location data. Further, the instructions include executable code which when executed causes the processing unit to identify, via the identification unit, one or more backhaul locations in a predefined range of the target input location. Further, the instructions include executable code which when executed causes the processing unit to determine, via a
25 determination unit, at least one of: a distance, a line of Sight (LOS), and clearance of a predefined
Fresnel zone from the target input location to the one or more backhaul locations. Further, the instructions include executable code which when executed causes the processing unit to identify, via the identification unit, a set of target backhaul locations from the one or more backhaul locations based on at least one of: the distance, the line of sight, and the clearance of the predefined
30 Fresnel zone from the target input location to the one or more backhaul locations.
6

[0020] Yet another aspect of the present disclosure may relate to user equipment (UE) for
determining a set of target backhaul locations. The UE comprises a system. The system comprises
a transceiver unit configured to receive at least a geographical location data associated with a set
of input location data. The system further comprises a processing unit connected to at least the
5 transceiver unit. The processing unit is configured to identify, via an identification unit, a target
input location based on the set of input location data. The processing unit is further configured to
identify, via the identification unit, one or more backhaul locations in a predefined range of the
target input location. The processing unit is further configured to determine, via a determination
unit, at least one of: a distance, a line of Sight (LOS), and clearance of a predefined Fresnel zone
10 from the target input location to the one or more backhaul locations. The processing unit is further
configured to identify, via the identification unit, a set of target backhaul locations from the one or more backhaul locations based on at least one of: the distance, the line of sight, and the clearance of the predefined Fresnel zone from the target input location to the one or more backhaul locations.
15 BRIEF DESCRIPTION OF DRAWINGS
[0021] The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components in the
20 drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating 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 disclosure of electrical components, electronic components or circuitry commonly used to implement such components.
25
[0022] FIG. 1 illustrates an exemplary block diagram of a computing device [100] for determining a set of target backhaul locations, in accordance with exemplary embodiments of the present disclosure.
30 [0023] FIG. 2 illustrates an exemplary block diagram of a system [200] for determining a set of
target backhaul locations, in accordance with exemplary embodiments of the present disclosure.
7

[0024] FIG. 3 illustrates an exemplary flow diagram of a method [300] for determining a set of target backhaul locations, in accordance with exemplary embodiments of the present disclosure, in accordance with an embodiment of the present disclosure. 5
[0025] FIG. 4 illustrates an exemplary scenario [400] of the present disclosure for determining a set of target backhaul locations is shown, in accordance with exemplary implementations of the present disclosure.
10 [0026] The foregoing shall be more apparent from the following more detailed description of the
disclosure.
DETAILED DESCRIPTION
15 [0027] In the following description, for the purposes of explanation, various specific details are
set forth in order to provide a thorough understanding of embodiments of the present disclosure. 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 any of
20 the problems discussed above or might address only some of the problems discussed above. Some
of the problems discussed above might not be fully addressed by any of the features described herein. Example embodiments of the present disclosure are described below, as illustrated in various drawings in which like reference numerals refer to the same parts throughout the different drawings.
25
[0028] The ensuing description provides exemplary embodiments only, and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be
30 made in the function and arrangement of elements without departing from the spirit and scope of
the disclosure as set forth.
8

[0029] Specific details are given in the following description to provide a thorough understanding
of the embodiments. However, it will be understood by one of ordinary skill in the art that the
embodiments may be practiced without these specific details. For example, circuits, systems,
5 processes, and other components may be shown as components in block diagram form in order not
to obscure the embodiments in unnecessary detail.
[0030] Also, it is noted that individual embodiments may be described as a process which is
depicted as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block
10 diagram. Although a flowchart may describe the operations as a sequential process, many of the
operations may be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed but could have additional steps not included in a figure.
15 [0031] 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 “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
20 known to those of ordinary skill in the art. Furthermore, to the extent that the terms “includes,”
“has,” “contains,” and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive—in a manner similar to the term “comprising” as an open transition word—without precluding any additional or other elements.
25 [0032] As used herein, a “processing unit” or “processor” or “operating processor” or “network
processor” includes one or more processors, wherein processor refers to any logic circuitry for processing instructions. A processor may be a general-purpose processor, a special purpose processor, a conventional processor, a digital signal processor, a plurality of microprocessors, one or more microprocessors in association with a (Digital Signal Processing) DSP core, a controller,
30 a microcontroller, Application Specific Integrated Circuits, Field Programmable Gate Array
circuits, any other type of integrated circuits, etc. The processor may perform signal coding data
9

processing, input/output processing, and/or any other functionality that enables the working of the system according to the present disclosure. More specifically, the processor or processing unit is a hardware processor.
5 [0033] As discussed in the background section, the current known solutions have several
shortcomings. The present disclosure aims to overcome the shortcomings and other existing problems in this field of technology by providing method and system for determining a set of target backhaul locations, which involves: receiving of a geographical location data associated with a set of input location data; the identification of a target input location based on the set of input location
10 data; identification of one or more backhaul locations in a predefined range of the target input
location; determination of at least one of: a distance, a line of sight (LOS), and clearance of a predefined Fresnel zone from the target input location to the one or more backhaul locations; and identification of a set of target backhaul locations from the one or more backhaul locations based on at least one of: the distance, the line of sight, and clearance of the predefined Fresnel zone from
15 the target input location to the one or more backhaul locations.
[0034] Hereinafter, exemplary embodiments of the present disclosure will be described with reference to the accompanying drawings.
20 [0035] FIG. 1 illustrates an exemplary block diagram of a computing device [100] for determining
a set of target backhaul locations, in accordance with exemplary embodiments of the present
disclosure. The computing device [100] may include a bus [102] or other communication
mechanism for communicating information, and a hardware processor [104] coupled with bus
[102] for processing information. The hardware processor [104] may be, for example, a general-
25 purpose microprocessor. The computing device [100] may also include a main memory [106],
such as a random-access memory (RAM), or other dynamic storage device, coupled to the bus
[102] for storing information and instructions to be executed by the processor [104]. The main
memory [106] also may be used for storing temporary variables or other intermediate information
during execution of the instructions to be executed by the processor [104]. Such instructions, when
30 stored in non-transitory storage media accessible to the processor [104], render the computing
device [100] into a special-purpose machine that is customized to perform the operations specified
10

in the instructions. The computing device [100] further includes a read only memory (ROM) [108] or other static storage device coupled to the bus [102] for storing static information and instructions for the processor [104].
5 [0036] A storage device [110], such as a magnetic disk, optical disk, or solid-state drive is provided
and coupled to the bus [102] for storing information and instructions. The computing device [100] may be coupled via the bus [102] to a display [112], such as a cathode ray tube (CRT), Liquid crystal Display (LCD), Light Emitting Diode (LED) display, Organic LED (OLED) display, etc. for displaying information to a computer user. An input device [114], including alphanumeric and
10 other keys, touch screen input means, etc. may be coupled to the bus [102] for communicating
information and command selections to the processor [104]. Another type of user input device may be a cursor controller [116], such as a mouse, a trackball, or cursor direction keys, for communicating direction information and command selections to the processor [104], and for controlling cursor movement on the display [112]. The input device typically has two degrees of
15 freedom in two axes, a first axis (e.g., x) and a second axis (e.g., y), that allow the device to specify
positions in a plane.
[0037] The computing device [100] may implement the techniques described herein using customized hard-wired logic, one or more ASICs or FPGAs, firmware and/or program logic which
20 in combination with the computing device [100] causes or programs the computing device [100]
to be a special-purpose machine. According to one implementation, the techniques herein are performed by the computing device [100] in response to the processor [104] executing one or more sequences of one or more instructions contained in the main memory [106]. Such instructions may be read into the main memory [106] from another storage medium, such as the storage device
25 [110]. Execution of the sequences of instructions contained in the main memory [106] causes the
processor [104] to perform the process steps described herein. In alternative implementations of the present disclosure, hard-wired circuitry may be used in place of or in combination with software instructions.
30 [0038] The computing device [100] also may include a communication interface [118] coupled to
the bus [102]. The communication interface [118] provides a two-way data communication
11

coupling to a network link [120] that is connected to a local network [122]. For example, the
communication interface [118] may be an integrated services digital network (ISDN) card, cable
modem, satellite modem, or a modem to provide a data communication connection to a
corresponding type of telephone line. As another example, the communication interface [118] may
5 be a local area network (LAN) card to provide a data communication connection to a compatible
LAN. Wireless links may also be implemented. In any such implementation, the communication interface [118] sends and receives electrical, electromagnetic or optical signals that carry digital data streams representing various types of information.
10 [0039] The computing device [100] can send messages and receive data, including program code,
through the network(s), the network link [120] and the communication interface [118]. In the Internet example, a server [130] might transmit a requested code for an application program through the Internet [128], the ISP [126], the local network [122], the host [124] and the communication interface [118]. The received code may be executed by the processor [104] as it is
15 received, and/or stored in the storage device [110], or other non-volatile storage for later execution.
[0040] The computing device [100] as shown in FIG. 1 may reside in a system [200] for implementing the features of the present disclosure. In an implementation, the computing device [100] may also implement a method [300] for determining a set of target backhaul locations
20 utilising the system [200]. In another implementation, the computing device [100] itself
implements the method [300] for determining a set of target backhaul locations using one or more units configured within the computing device [100], wherein said one or more units are capable of implementing the features as disclosed in the present disclosure. The present disclosure is also implemented by the system [200] (as shown in FIG. 2). In an implementation, the computing
25 device [100] may be connected to the system [200] to perform the present disclosure.
[0041] Referring to FIG. 2, an exemplary block diagram of the system [200] for determining a set
of target backhaul locations, is shown, in accordance with the exemplary implementations of the
present disclosure. In general, backhaul locations are the locations where the backhaul portions
30 (the intermediate links between the core network and other smaller subnetworks) are deployed.
Further, target backhaul locations are the locations where the backhaul portions are to be deployed.
12

The system [200] comprises at least one transceiver unit [201] and at least one processing unit
[202] comprising at least one identification unit [203], at least one determination unit [204] and at
least one assigning unit [205]. Also, all of the components/ units of the system [200] are assumed
to be connected to each other unless otherwise indicated below. As shown in the FIG. 2, all units
5 shown within the system [200] should also be assumed to be connected to each other. Also, in FIG.
2 only a few units are shown, however, the system [200] may comprise multiple such units or the system [200] may comprise any such numbers of said units, component(s) and/or circuitry(s), such that are obvious to a person skilled in the art for implementation of features of the present disclosure, as required to implement the features of the present disclosure. Further, in an
10 implementation, the system [200] may be present in a user device to implement the features of the
present disclosure. The system [200] may be a part of the user device (may also referred herein as a user equipment (UE) [206]) / or may be independent of but in communication with the user device. In another implementation, the system [200] may reside in a server or a network entity. In yet another implementation, the system [200] may reside partly in the server/ network entity and
15 partly in the user device.
[0042] Further, in accordance with the present disclosure, it is to be acknowledged that the functionality described for the various components/units can be implemented interchangeably. While specific embodiments may disclose a particular functionality of these units for clarity, it is recognized that various configurations and combinations thereof are within the scope of the disclosure. The functionality of specific units as disclosed in the disclosure should not be construed as limiting the scope of the present disclosure. Consequently, alternative arrangements and substitutions of units, provided they achieve the intended functionality described herein, are considered to be encompassed within the scope of the present disclosure.
[0043] The system [200] is configured for determining a set of target backhaul location(s), with the help of the interconnection between the components/units of the system [200].
[0044] The transceiver unit [201] is configured to receive at least a geographical location data
30 associated with a set of input location data. It is to be noted that the geographical location data
comprises at least one of: a terrain data and 3-dimensional (3D) building data. The terrain data
13

generally includes a series of points representing high and low extremes in the terrain that define
topographic features such as streams, levees, ridges, and the like. Further, the 3D building data
includes physical characteristics of a location and detailed representations of the buildings within
it. The set of input location data is associated with user defined location data. For example, a user
5 associated with the system [200] may select one location out of n number of locations to determine
at least one of: a distance, a line of sight (LOS), etc. for the selected location.
[0045] The processing unit [202] is configured to identify, via an identification unit [203], a target input location based on the set of input location data. The processing unit [202] is further
10 configured to identify, via the identification unit [203], one or more backhaul locations in a
predefined range of the target input location. The processing unit [202] is further configured to determine, via a determination unit [204], at least one of: a distance, a line of Sight (LOS), and clearance of a predefined Fresnel zone from the target input location to the one or more backhaul locations. The processing unit [202] is also configured to identify, via the identification unit [203],
15 a set of target backhaul locations from the one or more backhaul locations based on at least one
of: the distance, the line of sight, and the clearance of the predefined Fresnel zone from the target input location to the one or more backhaul locations. It is to be noted the target backhaul locations are those backhaul locations from the one or more backhaul locations which will facilitate a telecom operator to know the all the probable backhaul site locations to install a microwave (MW)
20 or unlicensed band radio (UBR) link before deployment that further helps ion deploying of a
network cell. This will help to establish a MW/UBR backhaul link with respect to the best location which will ensure the best radio frequency (RF) link performance in terms of Receive signal strength (RSL), Modulation and Coding index (MCS) and Fade margin. This will also help in the analysis of the bulk target sites to be deployed. The processing unit [202] is further configured to
25 assign, via an assigning unit [205], a rank to each backhaul location from the set of target backhaul
locations based on at least one of: the distance, the line of sight (LOS), and the clearance of predefined Fresnel zone from the target input location to each of the set of target backhaul locations.
30 [0046] Further, it is to be noted that the target input location is identified based on one or more
pre-defined parameters associated with the target input location, wherein the one or more pre-
14

defined parameters is at least one of: an availability of an installation point parameter, a height of the installation point parameter, a latitude parameter of the installation point, and a longitude parameter of the installation point.
5 [0047] Furthermore, it is to be noted that the set of target backhaul locations facilitates deployment
of a network cell at the target input location by using at least one of: a microwave and unlicensed band radio links.
[0048] Referring to FIG. 3, an exemplary method flow diagram [300] for determining a set of
10 target backhaul locations, in accordance with exemplary implementations of the present disclosure
is shown. In an implementation the method [300] is performed by the system [200]. Further, in an implementation, the system [200] may be present in a server device to implement the features of the present disclosure. Also, as shown in FIG. 3, the method [300] starts at step [302].
15 [0049] At step [304], the method [300] comprises receiving, by a transceiver unit [201], at least a
geographical location data associated with a set of input location data. In an exemplary aspect of the present disclosure, the geographical location data comprises at least one of: a terrain data and 3-dimensional (3D) building data.
20 [0050] At step [306], the method [300] comprises identifying, via an identification unit [203], by
a processing unit [202], a target input location based on the set of input location data.
[0051] In an exemplary aspect of the present disclosure, the target input location is identified based
on one or more pre-defined parameters associated with the target input location, wherein the one
25 or more pre-defined parameters is at least one of: an availability of an installation point parameter,
a height of the installation point parameter, a latitude parameter of the installation point, and a longitude parameter of the installation point.
[0052] At step [308], the method [300] comprises identifying, via the identification unit [203], by
30 the processing unit [202], one or more backhaul locations in a predefined range of the target input
location.
15

[0053] At step [310], the method [300] comprises determining, via a determination unit [204], by the processing unit [202], at least one of: a distance, a line of sight (LOS), and clearance of a predefined Fresnel zone from the target input location to the one or more backhaul locations. 5
[0054] At step [312], the method [300] comprises identifying, via the identification unit [203], by the processing unit [202], a set of target backhaul locations from the one or more backhaul locations based on at least one of: the distance, the line of sight, and clearance of the predefined Fresnel zone from the target input location to the one or more backhaul locations. 10
[0055] In an exemplary aspect of the present disclosure, the set of target backhaul locations facilitates deployment of a network cell at the target input location by using at least one of: a microwave and unlicensed band radio links.
15 [0056] In an exemplary aspect of the present disclosure, the method [300] further comprises
assigning, via an assigning unit [205], by the processing unit, a rank to each backhaul location from the set of target backhaul locations based on at least one of: the distance, the line of sight (LOS), and the clearance of predefined Fresnel zone from the target input location to each of the set of target backhaul locations.
20
[0057] Thereafter, the method [300] terminates at step [314].
[0058] Referring to FIG. 4, an exemplary scenario [400] of the present disclosure for determining
a set of target backhaul locations is shown, in accordance with exemplary implementations of the
25 present disclosure is shown.
[0059] FIG. 4 shows Microwave (MW) and Unlicensed Band Radio (UBR) link deployment for a
wireless backhaul solution to a cell site [403] (macro or micro). It is to be noted that the MW radio
links use licensed frequency spectrum for data transmission. MW primarily have application in
30 telecommunication. The UBR links have application for unregulated frequency spectrum such as
but not limited to wi-fi that do not require license to avail the data transmission services. The cell
16

site (CS) is an entity responsible for establishing communication with the identified target
backhaul locations (such as BL-1, BL-2, BL-3 and so on till BL-n). The CS deployment takes
place due to use of the MW/UBR links used at the target backhaul locations. It is to be noted that
for identifying the probable backhaul locations (also known as fibre take-off sites) such as BL-1,
5 BL-2, BL-3 in a predefined range [401] of the cell site [403], the cell site [403] considers a data
that may include but not limited to a distance, a line of sight, a clearance of a predefined Fresnel zone from the cell site to the backhaul location(s). After said consideration, the cell site [403] assigns a rank (or a priority) to each backhaul location from the set of backhaul locations based on said data. It is to be noted that the Fresnel zone is indicative of an aerial region (or space) between
10 the cell site [403] and the backhaul location(s) (such as BL-1). The Fresnel zone are imaginative
concentric ellipsoidal aerial regions between two connected components in a network. The Fresnel zone determines the impact of the obstacles on the signal’s strength and quality. It is further noted that the distance is the distance between two connected components. Additionally, the line of sight (LoS), refers to a direct unobstructed path between the connected devices. More specifically, the
15 clearance refers to a space free of obstruction between the two connected components.
[0060] Another aspect of the present disclosure may relate to a non-transitory computer-readable storage medium storing instruction for determining a set of target backhaul locations, the storage medium comprising executable code which, when executed by one or more units of a system [200],
20 causes: a transceiver unit [201] to receive at least a geographical location data associated with a
set of input location data; and a processing unit [202] to identify, via an identification unit [203], a target input location based on the set of input location data. Further, the instructions include executable code which when executed causes the processing unit [202] to identify, via the identification unit [203], one or more backhaul locations in a predefined range of the target input
25 location. Further, the instructions include executable code which when executed causes the
processing unit [202] to determine, via a determination unit [204], at least one of: a distance, a line of Sight (LOS), and clearance of a predefined Fresnel zone from the target input location to the one or more backhaul locations. Further, the instructions include executable code which when executed causes the processing unit [202] to identify, via the identification unit [203], a set of
30 target backhaul locations from the one or more backhaul locations based on at least one of: the
17

distance, the line of sight, and the clearance of the predefined Fresnel zone from the target input location to the one or more backhaul locations.
[0061] Yet another aspect of the present disclosure may relate to user equipment (UE) [206] for
5 determining a set of target backhaul locations. The UE [206] comprises a system [200]. The system
[200] comprises a transceiver unit [201] configured to receive at least a geographical location data associated with a set of input location data. The system [200] further comprises a processing unit [202] connected to at least the transceiver unit [201]. The processing unit [202] is configured to identify, via an identification unit [203], a target input location based on the set of input location
10 data. The processing unit [202] is further configured to identify, via the identification unit [203],
one or more backhaul locations in a predefined range of the target input location. The processing unit [202] is further configured to determine, via a determination unit [204], at least one of: a distance, a line of Sight (LOS), and clearance of a predefined Fresnel zone from the target input location to the one or more backhaul locations. The processing unit [202] is further configured to
15 identify, via the identification unit [203], a set of target backhaul locations from the one or more
backhaul locations based on at least one of: the distance, the line of sight, and the clearance of the predefined Fresnel zone from the target input location to the one or more backhaul locations.
[0062] Therefore, as is evident from the above, the present disclosure provides a technically
20 advanced solution for determining backhaul location(s) in a telecom network. The present
disclosure enables the selection of optimal backhaul locations associated with Universal
Broadband Router hubs or base station hubs, ensuring reliable connectivity and network
performance. Further, the technical advantage of present disclosure lies in its automation and
accuracy. The use of predefined parameters and data analysis techniques allows for the automatic
25 identification of target and backhaul locations, eliminating the need for manual intervention. By
considering factors such as installation point availability, height, and geographical coordinates, the system ensures that the selected backhaul locations are strategically positioned for seamless network connectivity.
30 [0063] Additionally, by determining the line of sight for each backhaul location, the solution
optimizes signal propagation and minimizes potential obstacles, resulting in improved network
18

reliability and coverage. Overall, this novel solution streamlines the process of network deployment and enhances the efficiency and effectiveness of telecommunications infrastructure. The present disclosure offers at least below mentioned advantages:
5 1. The backhaul locations (or the fibre take-off sites) can be determined for any set of target
small network cell or macro sites using a tool based on the system for determining target backhaul connection.
2. The Line of Sight (LoS) analysis can be determined for the target input location site with
respect to all the nearby backhaul locations. Based on said analysis, the system is capable
10 of reporting whether the LOS is clear or not.
3. The Fresnel Zone clearance analysis can be determined for the target input location with
respect to all the nearby backhaul locations and based on the same, the system will report
whether the Fresnel Zone is clear or not.
4. The determination of the obstruction clearance from the respective Fresnel zones along
15 with the obstruction distance from the target input location can be identified, if required.
5. The method can also be used to analyze the target backhaul locations for a single or
multiple set of target input locations.
[0064] Furthermore, the present disclosure provides capital expenditure (CAPEX) improvement
20 per cell site in the network by eliminating the need of an additional purchase of a RF Planning tool
license. Also, the site survey by an operator can be avoided to check the LoS feasibility of the
target input location with the nearby probable backhaul location, which further curbs the CAPEX.
The Site survey capex can also be saved based on the present disclosure at the network cell site
having plurality of cells that can be analysed at the same time. Additionally, the present disclosure
25 helps in estimating the LoS feasibility and 1st Fresnel Zone clearance (2nd Fresnel Zone clearance
and 3rd Fresnel Zone clearance, also if needed) which will facilitate the operator to know the all
the probable backhaul locations to install the microwave (MW) or the Unlicensed Band Radio
(UBR) link before deployment. Thus, a MW/UBR backhaul link with respect to the best probable
location will ensure the best RF link performance in terms of Receive signal strength (RSL),
30 Modulation and Coding index (MCS) and Fade margin.
19

[0065] While considerable emphasis has been placed herein on the disclosed embodiments, it will be appreciated that many embodiments can be made and that many changes can be made to the embodiments without departing from the principles of the present disclosure. These and other changes in the embodiments of the present disclosure will be apparent to those skilled in the art, whereby it is to be understood that the foregoing descriptive matter to be implemented is illustrative and non-limiting.

We Claim:
1. A method [300] for determining a set of target backhaul locations, the method [300]
comprising:
- receiving, by a transceiver unit [201], at least a geographical location data associated with a set of input location data;
- identifying, via an identification unit [203], by a processing unit [202], a target input location based on the set of input location data;
- identifying, via the identification unit [203], by the processing unit [202], one or more backhaul locations in a predefined range of the target input location;
- determining, via a determination unit [204], by the processing unit [202], at least one of: a distance, a line of sight (LOS), and clearance of a predefined Fresnel zone from the target input location to the one or more backhaul locations; and
- identifying, via the identification unit [203], by the processing unit [202], a set of target backhaul locations from the one or more backhaul locations based on at least one of: the distance, the line of sight, and clearance of the predefined Fresnel zone from the target input location to the one or more backhaul locations.

2. The method [300] as claimed in claim 1, wherein the method [300] further comprises assigning, via an assigning unit [205], by the processing unit, a rank to each backhaul location from the set of target backhaul locations based on at least one of: the distance, the line of sight (LOS), and the clearance of predefined Fresnel zone from the target input location to each of the set of target backhaul locations.
3. The method [300] as claimed in claim 1, wherein the geographical location data comprises at least one of: a terrain data and 3-dimensional (3D) building data.
4. The method [300] as claimed in claim 1, wherein the target input location is identified based on one or more pre-defined parameters associated with the target input location, wherein the one or more pre-defined parameters is at least one of: an availability of an installation point parameter, a height of the installation point parameter, a latitude parameter of the installation point parameter, and a longitude parameter of the installation point parameter.

5. The method [300] as claimed in claim 1, wherein the set of target backhaul locations allows deployment of a network cell at the target input location by using at least one of: a microwave and unlicensed band radio links.
6. A system [200] for determining a set of target backhaul locations, the system [200] comprises:
- a transceiver unit [201], wherein the transceiver unit [201] is configured to:
receive at least a geographical location data associated with a set of input location data; and
- a processing unit [202] connected to at least the transceiver unit [201], wherein the
processing unit [202] is configured to:
identify, via an identification unit [203], a target input location based on the set of input location data;
identify, via the identification unit [203], one or more backhaul locations in a predefined range of the target input location;
determine, via a determination unit [204], at least one of: a distance, a line of Sight (LOS), and clearance of a predefined Fresnel zone from the target input location to the one or more backhaul locations; and
identify, via the identification unit [203], a set of target backhaul locations from the one or more backhaul locations based on at least one of: the distance, the line of sight, and the clearance of the predefined Fresnel zone from the target input location to the one or more backhaul locations.
7. The system [200] as claimed in claim 6, wherein the processing unit [202] is further configured to assign, via an assigning unit [205], a rank to each backhaul location from the set of target backhaul locations based on at least one of: the distance, the line of sight (LOS), and the clearance of predefined Fresnel zone from the target input location to each of the set of target backhaul locations.
8. The system [200] as claimed in claim 6, wherein the geographical location data comprises at least one of: a terrain data and 3-dimensional (3D) building data.

9. The system [200] as claimed in claim 6, wherein the target input location is identified based on one or more pre-defined parameters associated with the target input location, wherein the one or more pre-defined parameters is at least one of: an availability of an installation point parameter, a height of the installation point parameter, a latitude parameter of the installation point parameter, and a longitude parameter of the installation point parameter.
10. The system [200] as claimed in claim 6, wherein the set of target backhaul locations allows deployment of a network cell at the target input location by using at least one of: a microwave and unlicensed band radio links.
11. A user equipment (UE) [206] for determining a set of target backhaul locations, the UE [206] comprising a system [200], wherein the system [200] comprising:
- a transceiver unit [201], wherein the transceiver unit [201] is configured to:
receive at least a geographical location data associated with a set of input location data; and
- a processing unit [202] connected to at least the transceiver unit [201], wherein the
processing unit [202] is configured to:
identify, via an identification unit [203], a target input location based on the set of input location data,
identify, via the identification unit [203], one or more backhaul locations in a predefined range of the target input location,
determine, via a determination unit [204], at least one of: a distance, a line of Sight (LOS), and clearance of a predefined Fresnel zone from the target input location to the one or more backhaul locations, and
identify, via the identification unit [203], a set of target backhaul locations from the one or more backhaul locations based on at least one of: the distance, the line of sight, and the clearance of the predefined Fresnel zone from the target input location to the one or more backhaul locations.