DESC:TECHNICAL FIELD

[0001] The present invention relates to the field of telecom technology and in particular, relates to a system and method for performing converged network planning. The present application is Cognate application is based on, and claims priority from, the Indian application number 201911047342 filed on 20-11-2019 and Indian application number 202011004337 filed on 31-01-2020

BACKGROUND

[0002] Over the last few decades, telecom industry is one of the fastest-growing industry. The telecom industry consists of telecom companies and internet service providers. In addition, the telecom industry plays a crucial role in evolution of mobile communication. The telecom industry provides high-speed internet access to billions of internet users. Nowadays, the telecom industry with facilitation of FTTH (Fibre to the Home) technology provides high-speed data. However, the FTTH (Fibre to the Home) technology has still not reached every household in rural villages. Conventionally, the telecom companies perform telecom survey using manual foot survey methodology. In addition, the telecom survey is performed for network planning and design. The manual foot survey methodology requires a person to visit a site to check for site clearance during design of wireless and wired links of a network. In addition, the person usually creates manual document on paper. Further, the manual document corresponds to a survey report. Furthermore, the survey report is converted into digital format. However, current methodology is time-consuming and involves monotonous task. In addition, the current methodology is incapable to plan for site clearance during design of wireless and wired links associated with the network. Further, the current methodology includes manual process. Furthermore, the manual process requires skilled resource to draw one by one links. Moreover, the manual process requires bulk planning that needs number of man-hours. Also, the current methodology is not “smart,” as it lacks the ability to learn. Also, the current methodology performs fibre network planning and radio network planning separately.

[0003] In light of the above stated discussion, there is a need for a converged network planning that overcomes the above stated disadvantages.

OBJECT OF THE DISCLOSURE

[0004] A primary object of the present disclosure is to provide a converged network planning system that performs fibre network planning and radio network planning collectively.

[0005] Another object of the present disclosure is to provide the converged network planning system that reduces man-hours by 60 percent to 70 percent during telecom survey.

[0006] Yet another object of the present disclosure is to provide the converged network planning system that prepares network plan for wireless and wired networks.

[0007] Yet another object of the present disclosure is to provide converged network planning system that optimizes network design using in-built geographical map-based tool.

SUMMARY

[0008] The present disclosure provides a system for performing converged network planning. The system includes one or more processors, and a memory. The memory is coupled to the one or more processors. The memory stores instructions. The instructions are executed by the one or more processors. The execution of instructions causes the one or more processors to perform a method for converged network planning using a converged network planning system. The method includes a first step of receiving a first set of data and a second set of data associated with a plurality of areas at the converged network planning system. In addition, the method includes a second step of analysing the first set of data and the second set of data associated with the plurality of areas. Further, the method includes a third step of planning optimized route for access network. Furthermore, the method includes a fourth step of planning optimized route for aggregate network. Moreover, the method includes a fifth step of planning optimized route for core network. The first set of data and the second set of data is received by a third-party database. The first set of data and the second set of data is received in real–time. Also, optimized route for access network is planned based on one or more parameters associated with access network. Also, optimized route for aggregate network is planned based on one or more parameters associated with aggregate network. Also, optimized route for core network is planned based on one or more parameters associated with core network. The converged network planning system performs converged network planning with facilitation of planning of access network, planning of aggregate network and planning of core network. The converged network planning system plans deployment of a plurality of elements associated with access network, aggregate network and core network. The plurality of elements comprising wireless network and wireline network.

[0009] In an embodiment of the present disclosure, the first set of data comprises geospatial survey data, and location specific data. The first set of data is in two formats, wherein the two formats comprises two dimensional map, and three dimensional map of the plurality of areas.

[0010] In an embodiment of the present disclosure, the second set of data comprises telecom data, population data, network requirement data, area density data, network availability data, optical fibre cable data, RF data, and telecom hop data.

[0011] In an embodiment of the present disclosure, the one or more parameters associated with access network includes total number of sites, total area covered of sites, grid/cell size, site density, total number of grids/cells, average sites per grid/cell, and bandwidth capacity.

[0012] In an embodiment of the present disclosure, the one or more parameters associated with aggregate network includes network size, location of sink, number of nodes, initial energy of nodes, data packet length.

[0013] In an embodiment of the present disclosure, the one or more parameters associated with core network includes traffic parameter, signal load and volume.

[0014] In an embodiment of the present disclosure, the converged network planning system performs segregation of the plurality of areas into a plurality of cells. The converged network planning system performs segregation based on planning one or more approaches. The one or more planning approaches includes small fibre grid creation, optical fibre cable route information, fibre node planning, line of site validation, radio frequency topology.

In an embodiment of the present disclosure, the converged network planning system performs connecting at least one cell of a plurality of cells using one or more algorithms based on shortest distance constraint, road network constraint, and minimal cost constraint.

[0015] In an embodiment of the present disclosure, the converged network planning system performs optimizing at least one cell of a plurality of cells using one or more algorithms based on shortest distance constraint, road network constraint, and minimal cost constraint.

[0016] In an embodiment of the present disclosure, the converged network planning system includes a converged planning application. The converged planning system performs converged network planning using the converged network planning application. The converged network planning application includes a drop down menu option to select wireless network or wireline network manually. In addition, the converged planning application performs one or more functions using one or more algorithms. The one or more functions includes calculate path cost and derive cost estimation, prepare business case optimize route of fibre and radio frequency networks in single window platform.

STATEMENT OF DISCLOSURE

[0017] The present disclosure provides a system for performing converged network planning. The system includes one or more processors, and a memory. The memory is coupled to the one or more processors. The memory stores instructions. The instructions are executed by the one or more processors. The execution of instructions causes the one or more processors to perform a method for converged network planning using a converged network planning system. The method includes a first step of receiving a first set of data and a second set of data associated with a plurality of areas at the converged network planning system. In addition, the method includes a second step of analysing the first set of data and the second set of data associated with the plurality of areas. Further, the method includes a third step of planning optimized route for access network. Furthermore, the method includes a fourth step of planning optimized route for aggregate network. Moreover, the method includes a fifth step of planning optimized route for core network. The first set of data and the second set of data is received by a third-party database. The first set of data and the second set of data is received in real–time. Also, optimized route for access network is planned based on one or more parameters associated with access network. Also, optimized route for aggregate network is planned based on one or more parameters associated with aggregate network. Also, optimized route for core network is planned based on one or more parameters associated with core network. The converged network planning system performs converged network planning with facilitation of planning of access network, planning of aggregate network and planning of core network. The converged network planning system plans deployment of a plurality of elements associated with access network, aggregate network and core network. The plurality of elements comprising wireless network and wireline network.

BRIEF DESCRIPTION OF THE FIGURES

[0018] Having thus described the invention in general terms, reference will now be made to the accompanying drawings, which are not necessarily drawn to scale, and wherein:

[0019] FIG. 1 illustrates a general overview of an interactive computing environment to perform converged network planning, in accordance with various embodiments of the present disclosure;

[0020] FIG. 2 illustrates an example of desktop planning for radio network connectivity, in accordance with an embodiment of the present disclosure;

[0021] FIG. 3 illustrates an example of fibre architecture associated with desktop planning for fixed wired access solution, in accordance with various embodiment of the present disclosure;

[0022] FIG. 4 illustrates an overview of planning approach for converged network planning, in accordance with various embodiments of the present disclosure;

[0023] FIG. 5 illustrates a flowchart depicting a method for converged network planning, in accordance with various embodiments of the present disclosure; and

[0024] FIG. 6 illustrates the block diagram of a hardware framework of a converged network planning system, in accordance with various embodiments of the present disclosure.

[0025] It should be noted that the accompanying figures are intended to present illustrations of exemplary embodiments of the present disclosure. These figures are not intended to limit the scope of the present disclosure. It should also be noted that accompanying figures are not necessarily drawn to scale.

DETAILED DESCRIPTION

[0026] In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present technology. It will be apparent, however, to one skilled in the art that the present technology can be practiced without these specific details. In other instances, structures and devices are shown in block diagram form only in order to avoid obscuring the present technology.

[0027] Reference in this specification to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present technology. The appearance of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Moreover, various features are described which may be exhibited by some embodiments and not by others. Similarly, various requirements are described which may be requirements for some embodiments but not other embodiments.

[0028] Reference will now be made in detail to selected embodiments of the present disclosure in conjunction with accompanying figures. The embodiments described herein are not intended to limit the scope of the disclosure, and the present disclosure should not be construed as limited to the embodiments described. This disclosure may be embodied in different forms without departing from the scope and spirit of the disclosure. It should be understood that the accompanying figures are intended and provided to illustrate embodiments of the disclosure described below and are not necessarily drawn to scale. In the drawings, like numbers refer to like elements throughout, and thicknesses and dimensions of some components may be exaggerated for providing better clarity and ease of understanding.

[0029] It should be noted that the terms "first", "second", and the like, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. Further, the terms "a" and "an" herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced item.

[0030] FIG. 1 illustrates a general overview of an interactive computing environment 100 to perform converged network planning, in accordance with various embodiments of the present disclosure. The interactive computing environment 100 demonstrates an environment that enables reception of telecom data associated with a plurality of areas 102. In addition, the telecom data associated with the plurality of areas 102 is analysed at the interactive computing environment 100. Further, the telecom data is utilized to prepare network plan and design.

[0031] The interactive computing environment 100 includes the plurality of areas 102, and a converged network planning system 104. In addition, the interactive computing environment 100 includes a communication network 106, a server 108 and a database 110.

[0032] In an embodiment of the present disclosure, the plurality of areas 102 includes but may not be limited to urban areas, suburban areas, and rural areas. In addition, the plurality of areas 102 includes dense urban areas, government institutes, enterprises, railway stations, highways, and the like.

[0033] In an example, urban areas include towns and cities with minimum population of 10000, density of 500 persons per square kilometre and 70 percent of male working population employed in non-agricultural activities. In another example, rural areas include villages with maximum population of 15000, density of 700 persons per square kilometre and 75 percent of male working population employed in agricultural activities. The interactive computing environment 100 includes the converged network planning system 104. In an embodiment of the present disclosure, the converged network planning system 104 includes smartphones, tablets, laptops, and personal digital assistants, and the like. In an embodiment of the present disclosure, the converged network planning system 104 collects the telecom data of the plurality of areas 102. In an embodiment of the present disclosure, the converged network planning system 104 is operated by an authorized person to collect, compute, analyse, maintain and store the telecom data captured from each area of the plurality of areas 102. In an example, the authorized person is field engineer that performs telecom survey. In another example, the authorized person is any person or individual that performs telecom survey to collect the telecom data. In an embodiment of the present disclosure, the converged network planning system 104 is facilitated to perform converged network planning. In general, converged network planning is planning approach to search and plan for available technology. In addition, available technology is used to transport traffic over fibre.

[0034] The converged network planning system 104 includes a converged network planning application. In general, converged network planning application is software that is used for network planning and design. In addition, converged network planning application is utilized for online project management, planning and building, progress monitoring, and reporting. In an embodiment of the present disclosure, the converged network planning application is based on Graphical User Interface (GUI). In general, Graphical User Interface (GUI) is interface that allows users to interact and operate electronic devices using graphical icons. The converged network planning application is an application installed in the converged network planning system 104. In addition, the converged network planning application is utilized to perform converged network planning. Further, the converged network planning application is used to optimize the plurality of areas 102 through converged network planning. In general, the plurality of areas 102 includes urban, sub-urban, dense urban areas for smart community and city, government institutes, enterprises, high footfall, public transport railway and highway. In an embodiment of the present disclosure, the converged network planning application performs a combination of fibre network planning and RF (Radio Frequency) network planning. In another embodiment of the present disclosure, the converged network planning application performs RF (Radio Frequency) network planning. In yet another embodiment of the present disclosure, the converged network planning application performs fibre network planning.

[0035] In an embodiment of the present disclosure, the converged network planning application is capable to perform high level planning. In addition, the converged network planning application is capable to calculate capex requirement. In general, capex requirement is money requirement an organization or corporate entity spends to buy, maintain, or improve fixed assets, such as buildings, vehicles, equipment, or land. Further, the converged network planning application performs supply chain management and data analysis. In general, supply chain management is management of flow of goods and services, involves movement and storage of raw materials, of work-in-process inventory, and of finished goods from point of origin to point of consumption. Furthermore, the converged network planning application performs process management and improvement of fibre lifecycle management. In general, process management is a discipline in operations management in which people use various methods to discover, model, analyze, measure, improve, optimize, and automate business processes. In general, improvement fibre lifecycle management is a course of events that brings a new fibre product into existence and follows its growth into a mature product and eventual critical mass and decline.

[0036] In an embodiment of the present disclosure, the converged network planning application is essential to perform large scale clusters planning. In addition, the converged network planning application optimizes clusters based on fibre to site ratio with respect to radio network availability. Further, the converged network planning application is utilized to rollout for E2E (Exchange to Exchange) transport network. Furthermore, E2E transport network includes but may not be limited to cellular backhaul, enterprise, small cell, FTTx (Fibre to the X), and combination of wired and wireless media. In an embodiment of the present disclosure, converged network planning application is geographical map-based tool that utilizes the one or more algorithms. In addition, geographical map in conjunction with the one or more algorithms facilitates the converged network planning application to plan for OSP, RF, FTTx elements at correct locations. Further, the converged network planning is performed to achieve optimized network design. In an embodiment of the present disclosure, the converged network planning application facilitates optimum utilization of network resource elements to perform converged network planning. In an embodiment of the present disclosure, the converged network planning application plans for topology with reference to fibre and FTTx network. In addition, the converged network planning application plans for reverse topology. Further, the reverse topology is defined for FTTx and fibre network. Furthermore, the reverse topology considers radio network availability and maximum LOS (line of site) clearance sites at defined tower height. In general, topology is arrangement that connects systems and network devices.

[0037] In an embodiment of the present disclosure, the converged network planning application is connected with the database 112 for planning and project management. The converged network planning application interconnects with geographic information system. In general, geographic information system is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. In addition, the database 112 includes digital maps and operational inventory. In an embodiment of the present disclosure, the converged network planning application uploads base plan network information in the database 112 in format of EXCEL script, Keyhole markup language zipped map.

[0038] In an embodiment of the present disclosure, the converged network planning application performs one or more processes. In an embodiment of the present disclosure, the one or more processes include but may not be limited to digital repository, web application to access the survey data, and Digital Geo repository. In addition, the one or more processes include purchase order and material tracking, flesh-for cost, stock inventory management, finance management, data analytics and dashboards, and the like. Further, the one or more processes include real-time project update and report to management, operation handover, optimization till end of life, and the like.

[0039] In an embodiment of the present disclosure, the converged network planning application includes an option of drop-down menu. In an example, drop-down menu is utilized by user to select wireless or wireline network manually. In an embodiment of the present disclosure, the converged network planning application performs one or more functions using the one or more algorithms. In an embodiment of the present disclosure, the one or more functions include but may not be limited to calculate path cost and derive cost estimation. In addition, the one or more functions include prepare business case, optimize route of fibre and RF (radio frequency) networks in single window platform, and the like. In an embodiment of the present disclosure, the converged network planning application plans optimized route for access network, aggregate network and core network. In addition, access network rings of access network are on overhead fibre. Further, aggregation network rings of aggregate network are a combination of overhead fibre and underground fibre based on network availability. Furthermore, each of core network rings is on underground fibre. In an example, path cost includes short path, accurate path, RF (radio frequency) propagation, LOS (line of site), path loss and the like. In an embodiment of the present disclosure, the converged network planning application eliminates manual efforts and errors with all type of check points using the one or more algorithms. In an embodiment of the present disclosure, the converged network planning application protects one or more aspects. In addition, the one or more aspects include frequency interference, designing, planning, survey and execution of converged network, and the like. In an embodiment of the present disclosure, the converged network planning application provides online end to end project management. In addition, the converged network planning application tracks purchase order. Further, the purchase order includes active, passive, infra requirement and the like.

[0040] In an embodiment of the present disclosure, the converged network planning application plans optimized route for access network based on one or more parameters associated with access network. The one or more parameters associated with access network includes total number of sites, total area covered of sites, grid/cell size, site density, total number of grids, site density, average sites per grid, area covered of access network ring, bandwidth capacity and the like.

[0041] In an embodiment of the present disclosure, the converged network planning application plans optimized route for aggregate network. In addition, the converged network planning application optimizes route for aggregate network based on one or more parameters associated with aggregate network. The one or more parameters associated with aggregate network includes network size, location of the sink, number of nodes, initial energy of nodes, data packet length and the like.

[0042] In an embodiment of the present disclosure, the converged network planning application plans optimized route for core network based on one or more parameters associated with core network. In addition, the one or more parameters associated with core network includes traffic parameter, signal load and volume and the like.

[0043] In an embodiment of the present disclosure, the converged network planning application provides fixed wireless access solution. In addition, fixed wireless access solution derives product and solution for point to point and point to multipoint wireless transport connectivity. In an example, product and solution for point to point and point to multipoint wireless transport connectivity includes backhaul, enterprise, small cell, wireless links. In addition, wireless links include UBR (unlicensed band radio), mm Wave (millimetre wave), FSOC (Free-space optical communication), LiFi (light fidelity), SatCom (satellite communication), and the like.

[0044] In an embodiment of the present disclosure, the converged network planning application facilitates radio planning. In addition, the radio planning is essential part for the converged network planning. In an embodiment of the present disclosure, the radio planning depicts use of radio frequency. In an example, radio frequency is last-mile connectivity in which base band is modulated on radio frequency over free space environment with no blocking in electromagnetic waves.

[0045] In an embodiment of the present disclosure, the converged network planning application facilitates radio frequency technology to users. In addition, the radio frequency technology enables point to-point and point to multi-point communication. Further, the radio frequency technology enables data and voice services for business to business and business to customer connectivity.

[0046] The converged network planning system 104 receives a first set of data associated with the plurality of areas 102. The first set of data corresponds to the geospatial survey data. In addition, the first set of data is location specific information. Further, the first set of data is in two formats. The two formats include two dimensional map and three dimensional map of the plurality of areas 102. Furthermore, the geospatial survey data is received in a forms of digital maps, aerial photographs, and satellite images. Moreover, the first set of data is received in real-time.

[0047] The converged network planning system 104 receives a second set of data associated with the plurality of areas 102. The second set of data corresponds to an attribute data. In addition, the second set of data corresponds to non-spatial characteristics that describe the geospatial survey data. Furthermore, the second set of data includes telecom data, population data, network requirement data, area density data, network availability data, optical fibre cable data, RF data, and telecom hop data. Moreover, the second set of data is received in real-time. Also, the first set of data and the second set of data may be received from a third-party database. The third-party database includes telecom industry database, government official databases, geological department databases, and public databases.

[0048] The converged network planning system 104 segregates each of the plurality of areas 102 in to a plurality of cells based on cell size. In addition, the cell size is based on one or more parameters. Further, the one or more parameters include but may not be limited to area density, area population, network requirement, and network availability.

[0049] The converged network planning system 104 engages in one or more planning approaches for the converged network planning. In addition, the one or more planning approaches include small fibre grid creation, optical fibre cable (OFC) route identification, fibre node planning, LOS (line of site) validation, radio frequency topology. In an embodiment of the present disclosure, small fibre grid is created for high capacity radio deployment in form of access network ring. In addition, access network ring is an overhead fibre.

[0050] In an example, small fibre grid creation enables plotting for 100 percent sites in GIS (geographic information system) land base. In another example, 16 square kilometre grid is created for radio and fibre connectivity. In an example, optical fibre cable (OFC) route identification enables identification of fibre path on highway or available road. In an example, fibre node planning enables selection of fibre nodes based on site density in grid. In addition, fibre nodes are selected with minimum distance approach from fibre route. Further, fibre nodes are high capacity fibre nodes. Furthermore, fibre nodes reduce microwave hops. In an example, LOS validation enables validation of line of sites on google maps and link budget. In addition, LOS validation facilitates calculation of tower height for multiple link deployment from fibre nodes. Further, LOS validation provides free space loss identification on AMSL variation between nodes in deep forest and hilly area. In an example, radio topology defines bandwidth (Let’s say 100 Mbps) to manage network technology. In another example, radio topology defines flow of high capacity to low capacity hops. In addition, high capacity to low capacity hops are considered from fibre nodes in star network to drop desired bandwidth.

[0051] The converged network planning system 104 connects at least one cell of the plurality of cells using the one or more algorithms. In an embodiment of the present disclosure, the converged network planning system 104 connects at least one cell of the plurality of cells using the one or more algorithms based on shortest distance constraint. In another embodiment of the present disclosure, the converged network planning system 104 connects at least one cell of the plurality of cells using the one or more algorithms based on road network constraint. In yet another embodiment of the present disclosure, the converged network planning system 104 connects at least one cell of the plurality of cells using the one or more algorithms based on minimal cost constraint. In yet another embodiment of the present disclosure, the converged network planning system 104 connects at least one cell of the plurality of cells using the one or more algorithms based on any suitable constraint.

[0052] The converged network planning system 104 optimizes converged access network plan. In addition, the converged network planning system 104 optimizes converged aggregate network plan. Further, the converged network planning system 104 optimizes core network for the converged network planning. In an embodiment of the present disclosure, the converged network planning system 104 at least one cell of the plurality of cells using the one or more algorithms through wireless network. In addition, access network rings of access network are on overhead fibre. Further, aggregation network rings of aggregate network are a combination of overhead fibre and underground fibre based on network availability. Furthermore, each of core network rings is on underground fibre. Also, each aggregation ring may have a node known as aggregation point from where plurality of aggregation rings is interconnected.

[0053] The converged network planning system 104 selects between radio frequency pole and optical fibre cable (OFC) based on a plurality of physical constraints for the converged network planning. In addition, the plurality of physical constraints includes but may not be limited to road distance between 2 points, forest area, and water body area. In an example, wireless network connectivity is selected if road distance between 2 points is three times the coordinate distance. In another example, wireless network connectivity is selected for forest area. In yet another example, wireless network connectivity is selected for water body area.

[0054] In an example, total number of sites is about 1352. In addition, total area covered of sites is about 263 square kilometre. Further, grid size is about 500 metres. Furthermore, total number of grids are about 527. Moreover, site density is about 195 metres. Also, average sites per grid is about 3. Also, access network ring has about 4 grids. Also, area covered of access network ring is about 2 square kilometre. Also, sites per access network ring is about 12. Also, minimum fibre nodes per access network ring is about 4. Also, total number of access network rings are about 113. Also, capacity bandwidth 20 GB per site at 60 percentage utilization of access network rings is about 400. Also, fibre pair required for access network rings is about 4. Also, aggregation network ring has about 16 grids. Also, area covered of aggregation network ring is about 8 square kilometre. Also, sites per aggregation network ring is about 48. Also, minimum fibre nodes per aggregation network ring is about 16. Also, total number of aggregation network rings are about 28. Also, capacity bandwidth 20 GB per site at 60 percentage utilization of aggregation network rings is about 19200. Also, fibre pair required for aggregation network rings is about 16.

[0055] The interactive computing environment 100 includes the communication network 106. The communication network 106 provides medium to the converged network planning system 104 to perform converged network planning using the converged network planning application. In an embodiment of the present disclosure, the communication network 106 provides network connectivity the converged network planning system 104 to operate the converged network planning application. In general, communication network is associated with hardware devices that are capable of transmitting data. The converged network planning system 104 uploads the telecom data in the converged network planning application using the communication network 106. The communication network 106 provides network connectivity to the converged network planning system 104 using a plurality of methods. The plurality of methods includes 2G, 3G, 4G, Wi-Fi, BLE, LAN, VPN, WAN, and the like. In an example, the communication network includes but may not be limited to a local area network, a metropolitan area network, a wide area network, a virtual private network, a global area network and a home area network.

[0056] In an embodiment of the present disclosure, the communication network 106 is any type of network that provides network connectivity to the converged network planning system 104. In an embodiment of the present disclosure, the communication network 106 is based on transmission over radio frequency. In another embodiment of the present disclosure, the communication network 106 is a wireless mobile network. In yet another embodiment of the present disclosure, the communication network 106 is a wired network with a finite bandwidth. In yet another embodiment of the present disclosure, the communication network 106 is combination of the wireless and the wired network for optimum throughput of data transmission. In yet another embodiment of the present disclosure, the communication network 106 is an optical fibre high bandwidth network that enables high data rate with negligible connection drops.

[0057] The interactive computing environment 100 includes the server 108. In an embodiment of the present disclosure, the converged network planning system 104 is connected with the server 108. In another embodiment of the present disclosure, the server 108 is part of the converged network planning system 104. The server 108 handles each operation and task performed by the converged network planning application. The server 108 stores the one or more instructions and the one or more processes for performing various operations of the converged network planning application. In an embodiment of the present disclosure, the server 108 is a cloud server. The cloud server is built, hosted and delivered through a cloud computing platform. In general, cloud computing is a process of using remote network servers that are hosted on the internet to store, manage, and process data.

[0058] Further, the server 108 includes the database 110. The database 110 is used for storage purposes. The database 110 is associated with the server 108. In general, database is a collection of information that is organized so that it can be easily accessed, managed and updated. In an embodiment of the present disclosure, the database 110 provides storage location to all data and information required by the converged network planning application. In an embodiment of the present disclosure, the database 110 may be at least one of hierarchical database, network database, relational database, object-oriented database and the like. However, the database 110 is not limited to the above-mentioned databases.

[0059] FIG. 2 illustrates an example 200 of desktop planning for radio network connectivity, in accordance with an embodiment of the present disclosure. In an embodiment of the present disclosure, desktop planning represents high level design (HLD) for radio network connectivity. In addition, high level design for radio network connectivity includes site A and site B. Further, desktop planning for radio network connectivity requires a plurality of information. Further, the plurality of information includes coordinates of site A and site B, antenna height, antenna azimuth hop length, antenna type and diameter, radio frequency and the like. In general, antenna height is variable from minimum to maximum with facilitation of manual intervention. In an embodiment of the present disclosure, high level design (HLD) represents transmission of radio frequency from site A to site B.

[0060] In an example, line of site (herein after LOS) survey is performed on a site by user. In addition, LOS includes compression between logical parameters of high level design (HLD) and infra information required for deployment. Further, infra information includes site address, contact person, civil requirement, electrical requirement, and tower requirement.

[0061] In an example, low-level design (LLD) is prepared for converged network planning. In addition, low-level design (LLD) represent one or more data. In an embodiment of the present disclosure, the one or more data include selection of antenna. In addition, the selection of antenna is based on distance and radio frequency. In another embodiment of the present disclosure, the one or more data include propagation model. In addition, propagation model includes rain and k-factor, free space loss calculation, Fresnel clearance reflection, refraction, ERP, and the like. In yet another embodiment of the present disclosure, the one or more data include interference analysis, selection of channel, frequency for new links, and the like. In yet another embodiment of the present disclosure, the one or more data include transmitter data analysis and measurement, flexible report generation, and the like.

[0062] In another example, low-level design (LLD) include one or more services. In addition, the one or more services include link deployment, traffic shift and NMS visibility, RFS (ready for services) and the like. In an embodiment of the present disclosure, link deployment represents compression of low-level design (LLD) and physical deployment for necessary actions. In an embodiment of the present disclosure, traffic shift and NMS visibility represents automated visibility plan of available IP (internet protocol) pool and subnet. In an embodiment of the present disclosure, RFS (ready for services) includes traffic testing, link deployment, network stability, handover document and the like.

[0063] FIG. 3 illustrates an example 300 of fibre architecture associated with desktop planning for fixed wired access solution, in accordance with various embodiment of the present disclosure. In an embodiment of the present disclosure, fibre architecture includes but may not be limited to server farm, monitoring centre, NOC (network operation centre) LAN (local area network), and internet. In addition, fibre architecture includes DWDM (dense wavelength division multiplexing) network, MPLS (multi-protocol label switching) network, OLT (optical line termination), splitter, GPON (gigabit passive optical network) layer, telecom service provider and the like. Further, fibre architecture includes one or more households, one or more high-rise buildings, one or more gram panchayat offices, one or more government institutions and the like. In an embodiment of the present disclosure, desktop planning for fixed wired access solution represents fibre architecture that is connect in sequence from interstate, district, zone, taluka, city and the like. In addition, desktop planning represents one or more gram panchayat offices, one or more households in ring, mesh and linear architecture. In an embodiment of the present disclosure, desktop planning calculates automated nearest route using geographic coordinates. In addition, desktop planning facilitates formation of defined architecture. Further, defined architecture includes ring, mesh and linear topology. In an example, desktop planning calculate three routes for final selection with compression report. In an embodiment of the present disclosure, desktop planning for fixed wired access solution includes cable routes. In an example, cable routes is divided into segments of maximum 100 meters of length. In addition, cable routes are bounded by identifiable landmarks at both ends of cable routes. In an embodiment of the present disclosure, desktop planning depicts measurement and record of latitude and longitude of points associated with cable routes. In an embodiment of the present disclosure, desktop planning includes attributes automation for design route. In addition, attribute automation include network type, network architecture, fibre cable type, cable configuration, geographical location, road, ROW (right of way) authority and the like. In an embodiment of the present disclosure, the span length is calculated with scenario bases.

[0064] In an embodiment of the present disclosure, the converged network planning system 104 includes the converged network planning application that works on cloud server on windows 2012 and above versions. In an embodiment of the present disclosure, the converged network planning application works on devices having 16 gigabyte random access memory and I7 processor used for bulk data handling. In another embodiment of the present disclosure, the converged network planning application may work on any suitable random access memory and processor of the like.

[0065] In an embodiment of the present disclosure, the converged network planning application works on windows server. In another embodiment of the present disclosure, the converged network planning application may work on any server platform of the like. In an embodiment of the present disclosure, the converged network planning application works on Windows 7 and above client platform. In another embodiment of the present disclosure, the converged network planning application may work on any client platform of the like. In an embodiment of the present disclosure, the converged network planning application works on Structure query language server 2008 database or above versions. In another embodiment of the present disclosure, the converged network planning application may work on any suitable database of the like. In an embodiment of the present disclosure, the converged network planning application works on development tools like visual 2015 and progressive web apps (PWA).

[0066] In an embodiment of the present disclosure, the converged network planning application requires minimum download speed of 2 megabyte per second. In another embodiment of the present disclosure, download speed required by the converged network planning application may vary. In an embodiment of the present disclosure, recommended download speed is 4 megabyte per second. In another embodiment of the present disclosure, recommended download speed may vary. In an embodiment of the present disclosure, the converged network planning application requires minimum upload speed of 2 megabyte per second. In another embodiment of the present disclosure, upload speed required by the converged network planning application may vary. In an embodiment of the present disclosure, recommended upload speed is 4 megabyte per second. In another embodiment of the present disclosure, recommended upload speed required by the converged network planning application may vary.

[0067] In an embodiment of the present disclosure, the converged network planning system 104 includes a project module. In general, project module is used to start a project. The project module in the converged network planning system 104 performs one or more functions. The one or more functions includes addition of project name, adding or importing high level locations, and addition of districts. The project module is used to define top level parameters. The top level parameters includes maximum number of demand points, route type and the like. In an embodiment of the present disclosure, the parameters includes take-up points, demand points, max number of demand points in a route, route type, capex related parameters, costing related rules and parameters, radio frequency related parameters (max tower height), fibre network related parameters, survey related parameters and the like. In another embodiment of the present disclosure, the top level parameters may vary.

[0068] In an embodiment of the present disclosure, the converged network planning application includes a survey management system. In general, survey management system works on observations based on initial planning. In an example, the observations in the survey management system are directly transferred to users of the converged network planning application. The users re-plans the observations and give new instructions to surveyor. In an embodiment of the present disclosure, the survey management system creates survey schedule. The survey management system creates survey schedule by capturing master plan of survey along with dates, surveyor details and the like. In embodiment of the present disclosure, the survey management system assigns in-house surveyors directly in main schedule. In addition, the survey management system creates a contract before assigning surveyors if surveyors belong to outside agency.

[0069] In an embodiment of the present disclosure, the survey management system creates survey design templates. In an embodiment of the present disclosure, the survey management system captures survey questionnaire in the survey design templates. Further, the survey management system performs survey distribution. The survey management system performs survey distribution with utilization of a survey distribution tool. The survey distribution tool allows online distribution of surveys to surveyors and collection of data. The data is collected based on survey details. The survey details includes location data, information-to-capture, deadlines to complete the survey and the like. The survey details are displayed on the converged network planning application.

[0070] In an embodiment of the present disclosure, the survey management system includes survey data collection tool. The survey data collection tool enables surveyor to fill in the survey through the converged network planning application. The survey data collection tool tracks completion status of survey responses. In an embodiment of the present disclosure, surveyor may report issues directly with evidences like photograph, data sheet and the like. In an embodiment of the present disclosure, the survey management system performs survey monitoring of survey schedules and performs follow-ups. The survey management system identifies delayed surveys by performing survey monitoring. In addition, the survey management system reschedules the survey based on resource availability and importance of the survey.

[0071] In an embodiment of the present disclosure, the converged network planning application includes a survey issue management tool. The survey issue management tool recommends changes in plan. The survey issue management tool reports various issues directly such as road availability issue, line of sight issue to name a few. The survey issue management tool recommends changes in the plan. In an embodiment of the present disclosure, the converged network planning application includes survey reporting tool. The survey reporting tool enables real time reporting. In an embodiment of the present disclosure, the converged network planning application includes a survey archival tool. The survey archival tool sends the survey details and changes in the network plan to archive after completion of the survey.

[0072] In an example, the converged network planning application includes a contract management module. The contract management module allows users to track and manage contracts. The contract management module allows users to authorize or draft contracts. The contact management module allows users to award contracts. In an embodiment of the present disclosure, the contract management module includes steps to initiate contracts. The contract initiation includes defining the details of the work, specification of the work, bill of quantity, time line and the like. In addition, contract initiation includes creation of float tenders. The creation of float tenders includes creation of tender documents, defining terms and conditions and the like. The contract management module sends the float tenders to multiple vendors who bids for the tender. Further, the contract management module captures quotations in the converged network planning system 104 to compare and analyse quotations received. Furthermore, the contract management module allows users to negotiate price of the contracts with one or more third parties involved. The contract management module negotiates price of the contracts after comparing and identifying quote and awarding contract. The contract management module captures various details such as length of fibre, number of poles required etc. Moreover, the contract management module enables supplying of materials from enterprise resource planning system. The contact management module integrates with enterprise resource planning system and captures basic data for inventory control.

[0073] In addition, the contract management module allows monitoring team to monitor work by updating milestones in the converged network planning application. Further, the contract management module allows monitoring team to access the survey details. Furthermore, the contract management module allows monitoring team to address deviation in the network plan. Moreover, the contract management module allows monitoring team to capture quality control details to monitor completion of each demand point level.

[0074] The contract management module facilitates automatic inventory management. In addition, the contract management module updates levels of inventory at warehouse of contractor. Further, the contract management module performs contract document management. The contract management module captures documents associated to the contract for contract document management. The contact document management includes management of job specifications, bill of quantity, purchase order, invoices, quality control reports and the like. Furthermore, monitoring team completes each activity in the contract and mark the contract as complete.

[0075] In an embodiment of the present disclosure, the converged network planning system 104 performs supply chain management by managing enterprise resource planning system. The converged network planning system 104 integrates supply chain activities and captures activities not managed in enterprise resource planning system. The supply chain management includes management of supplying of materials and capturing delivery details from enterprise resource planning system. The supply chain management includes materials requisition management, management of receipt of materials at site warehouses, observation of consumption of materials at site, inventory management and the like.

[0076] In an embodiment of the present disclosure, the converged network planning application performs project management with a base plan. The base plan is created at high level planning. In addition, progress of project is updated automatically. In an example, the converged network planning system 104 has ability to re-plan project if required. In an embodiment of the present disclosure, the converged network planning application performs project monitoring. In an example, project monitoring is performed by a user X using a mobile application. The user X performs project monitoring using a plurality of features. The plurality of features includes collection of data associated with surveyors, survey, and survey issue. In addition, the plurality of features includes management and recommendation of change in plan of survey reporting. Further, the plurality of features includes initiation of contract for work associated with capturing receipts of materials and updating work progress. Furthermore, the plurality of features includes updating project status, reporting contract work status with photographs, notifying delays, providing updates for incomplete work, updating quality control parameters, providing check lists and the like. Moreover, the plurality of features includes viewing of activity status of project by project management team, providing instructions and the like.

[0077] In an embodiment of the present disclosure, the converged network planning application is integrated with enterprise resource planning system. In addition, integration of the converged network planning application with enterprise resource planning system is done based on one or more requirements. The requirements include but not limited to need to manpower planning, instrument availability planning etc. Further, integration of the converged network planning application with enterprise resource planning system facilitates in avoiding duplicate data collection.

[0078] In an embodiment of the present disclosure, the converged network planning application includes fibre and radio life cycle management tool. The fibre and radio life cycle management tool represents life cycle of each project starting from network design, survey, work monitoring till completion and the like.

[0079] In an embodiment of the present disclosure, the converged network planning application utilized one or more architectures to perform network planning. The one or more architectures includes single point architecture, dual homing architecture, TP ring architecture, star architecture and the like.

[0080] In an embodiment of the present disclosure, the converged network planning application performs planning of high level design (HLD) network. Further, the converged network planning application performs surveys for day-wise planning and updating progress of planning. Furthermore, the converged network planning application approves final network plan after comparison of the network plan. Moreover, the converged network planning application approves execution network plan after comparison of the network plan. The converged network planning application uploads approved data to quantum geographic information system and POSTGRES.

[0081] In an embodiment of the present disclosure, the converged network planning application plans high level network design with facilitation of distance between each nodes in a ring among various ring combinations. In addition, the converged network planning application fetches 3 optimal plans with less distance and minimum overlapping. Further, the converged network planning application fixes demo date with team.

[0082] In an embodiment of the present disclosure, the converged network planning application imports points from excel and plot the points to map. Further, the converged network planning application calculates each demand point (DP) route and distance from take up point (TP) to DP. Furthermore, the converged network planning application generates various possible set of rings with 7 DPs and 1 TP. Moreover, the converged network planning application validates generated rings and checks rings for feasibility. Also, the converged network planning application exports valid rings and data related to rings to MS - Excel. Also, the converged network planning application calculates feasible height for radio frequency as per input parameters.

[0083] FIG. 4 illustrates an overview 400 of planning approach for converged network planning, in accordance with various embodiments of the present disclosure. The planning approach includes grid creation 402, optical fibre cable (OFC) route identification 404, fibre node planning 406, LOS (line of site) validation 408, radio topology 410 and power supply 412.

[0084] The planning approach includes grid creation 402. In an example grid creation 402 enables plotting for 100 percent sites in GIS (geographic information system) land base. In another example, 16 square kilometer grid is created for radio and fibre connectivity.

[0085] The planning approach includes optical fibre cable (OFC) route identification 404. In an example, optical fibre cable (OFC) route identification 404 enables identification of fibre path on highway or available road.

[0086] The planning approach includes fibre node planning 406. In an example, fibre node planning 406 enables selection of fibre nodes based on site density in grid. In addition, fibre nodes are selected with minimum distance approach from fibre route.

[0087] The planning approach includes LOS validation 408. In an example, LOS validation 408 enables validation of line of sites on google maps and link budget. In addition, LOS validation 408 facilitates calculation of tower height for multiple link deployment from fibre nodes. Further, LOS validation 408 provides free space loss identification on AMSL variation between nodes in deep forest and hilly area.

[0088] The planning approach includes radio topology 410. In an example, radio topology 410 defines bandwidth (say, 100 Mbps) to manage network technology. In another example, radio topology 410 defines flow of high capacity to low capacity hops. In addition, high capacity to low capacity hops are considered from fibre nodes in star network to drop desired bandwidth.

[0089] The planning approach includes power supply 412. In an example, power supply 412 includes one or more power sources to provide power supply to electronics. In addition, the one or more power sources include solar panel, hybrid renewable source and the like.

[0090] FIG. 5 illustrates a flowchart 500 depicting a method for converged network planning, in accordance with various embodiments of the present disclosure. The flowchart initiates at step 502. Following step 502, at step 504, the method includes a first step of receiving the first set of data and the second set of data associated with the plurality of areas 102 at the converged network planning system 104. At step 506, the method includes analysing the first set of data and the second set of data associated with plurality of areas at the converged network planning system 104. At step 508, the method includes planning of optimized route for access network is planned based on the one or more parameters associated with access network. At step 510, the method includes planning of optimized route for aggregate network based on the one or more parameters associated with aggregate network. At step 512, the method includes planning of optimized route for core network based on the one or more parameters associated with core network. The flow chart terminates at step 514.

[0091] FIG. 6 illustrates the block diagram of a hardware framework 600 of the converged network planning system 104 of FIG. 1, in accordance with various embodiments of the present disclosure. The hardware framework 600 is required to run the converged network planning system 104. The hardware framework 600 includes various components that work synchronously to enable processing of the converged network planning system 604 and allows storing of data in the converged network planning system 104. The hardware framework 600 includes a bus 602 that directly or indirectly couples the following devices: memory 604, one or more processors 606, one or more presentation components 608, one or more input/output (I/O) ports 610, one or more input/output components 612, and an illustrative power supply 614. The bus 602 represents what may be one or more busses (such as an address bus, data bus, or combination thereof). Although the various blocks of FIG. 6 are shown with lines for the sake of clarity, in reality, delineating various components is not so clear, and metaphorically, the lines would more accurately be grey and fuzzy. For example, one may consider a presentation component such as a display device to be an I/O component. Also, processors have memory. The inventors recognize that such is the nature of the art and reiterate that the diagram of FIG. 6 is merely illustrative of an exemplary hardware framework 600 that can be used in connection with one or more embodiments of the present invention. Distinction is not made between such categories as “workstation,” “server,” “laptop,” “hand-held device,” etc., as all are contemplated within the scope of FIG. 6 and reference to “hardware framework.”

[0092] The hardware framework 600 typically includes a variety of computer-readable media. The computer-readable media can be any available media that includes both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, the computer-readable media may comprise computer storage media and communication media. The computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. The computer storage media includes, but is not limited to, non-transitory computer-readable storage medium that stores program code and/or data for short periods of time such as register memory, processor cache and random access memory (RAM), or any other medium which can be used to store the desired information.. The computer storage media includes, but is not limited to, non-transitory computer readable storage medium that stores program code and/or data for longer periods of time, such as secondary or persistent long term storage, like read only memory (ROM), EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information. The communication media typically embodies computer-readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media. The term “modulated data signal” means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media. Combinations of any of the above should also be included within the scope of computer-readable media.

[0093] Memory 604 includes computer-storage media in the form of volatile and/or nonvolatile memory. The memory 604 may be removable, non-removable, or a combination thereof. Exemplary hardware devices include solid-state memory, hard drives, optical-disc drives, etc. The hardware framework 600 includes the one or more processors 606 that read data from various entities such as memory 604 or I/O components 612. The one or more presentation components 608 present data indications to a user or other device. Exemplary presentation components include a display device, speaker, printing component, vibrating component, etc.

[0094] The present invention has various advantages over the prior art. The present invention provides the converged network planning system that performs fibre network planning and radio network planning collectively. In addition, the converged network planning system reduces man-hours by 60 percent to 70 percent during telecom survey. Further, the converged network planning system prepares network plan for wireless and wired network. Furthermore, the converged network planning system optimizes network design using in-built geographical map-based tool.

[0095] The foregoing descriptions of specific embodiments of the present technology have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present technology to the precise forms disclosed, and obviously many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the present technology and its practical application, to thereby enable others skilled in the art to best utilize the present technology and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omissions and substitutions of equivalents are contemplated as circumstance may suggest or render expedient, but such are intended to cover the application or implementation without departing from the spirit or scope of the claims of the present technology.

[0096] While several possible embodiments of the invention have been described above and illustrated in some cases, it should be interpreted and understood as to have been presented only by way of illustration and example, but not by limitation. Thus, the breadth and scope of a preferred embodiment should not be limited by any of the above-described exemplary embodiments.
,CLAIMS:What we claimed is:

1. A method for simultaneously planning wireless and wire line network for an area, the method comprises;
loading a map of the area on an electronic device,
processing the map, using the processor present in the electronic device, to divide the area into plurality of access network cells, extract topographical details of the cell, extract road network and road length in the cell and tag network demand points on the map wherein the shape and size of access network cells is decided using demand points density parameter,
creating an access network of demand points of a cell from plurality of cells, using the processor present in the electronic device, by simultaneously using wireless and wire line network between demand points, using plurality of processed map and demand point information,
creating plurality of networks between the plurality of cells to form aggregation layer of cells using wireless and wire line network simultaneously using the processor present in the electronic device,
creating plurality of backbone/core network between aggregation points using wireless and wire line network simultaneously using the processor present in the electronic device.

2. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 wherein the processor of the electronic device divides the area into cells or grids of different shapes and sized wherein the shape and size of grids is kept such that the number of demand points in each cell remain the same.

3. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 wherein the processor extracts topographical data of the area using 3 dimensional map of the area, wherein the topographical data extracted by the processor corresponds to elevation of different points present in the area.

4. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 wherein the demand points of an area are identified by processing the image of the area and identifying and tagging civil infrastructure in the area using the processor present on the electronic device.

5. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 wherein the demand points of an area are marked on the map by the network planner using a graphic user interface present on the electronic device.

6. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 wherein wire line network is created alongside a road with shortest distance constraint to decide the route.

7. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 wherein demand points in a cell that are not present near the planned wire line network, are wirelessly connected to the created wire line nodes.

8. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 wherein plurality of wire line and wireless networks to connect plurality of demand points are created and cost for each plan is obtained.

9. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 wherein plurality of aggregate network to connect plurality of cell in the area, using wire line network near road constraint and wireless network to connect off road/route cells constraint, are created and cost for each network is obtained.

10. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 wherein plurality of core networks to connect plurality of clusters of cells/aggregation layers, using wire line network near road constraint and wireless network to connect off road/route clusters, are created and cost for each network is obtained.

11. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 wherein the sequence of planning is access network followed by aggregate network followed by core network.

12. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 wherein plurality of created access, aggregate and core network layout with associated costs are presented to the planner using the graphic user interface of the electronic device.

13. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 wherein network between two points is switched between wireless and wire line based on least cost of deploying the network.

14. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 and 13 wherein cost of radio frequency (RF) poles height with respect to line of sight requirement is compared with cost of fibre route between two points to switch from wireless to wire line based on least cost.

15. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 and 13 wherein cost of fibre deployment between two points is compared with cost of RF poles to switch from wire line to wireless based on least cost.

16. A method for simultaneous wireless and wire line network planning for an area as claimed in claim 1 and 13 wherein the graphic user interface of the electronic device enables manual switching between wireless and wire line network between two points by the network planner.

17. An electronic device for simultaneously planning wireless and wire line network for an area, the method for simultaneously planning wireless and wire line network for an area using the electronic device comprises;
loading a map of the area on the electronic device,
processing the map, using the processor present in the electronic device, to divide the area into plurality of access network cells, extract topographical details of the cell, extract road network and road length in the cell and tag network demand points on the map wherein the size of access network cells is dynamic,
creating an access network of demand points of a cell from plurality of cells, using the processor present in the electronic device, by simultaneously using wireless and wire line network between demand points, using plurality of processed map and demand point information,
creating plurality of networks between the plurality of cells to form aggregation layer of cells using wireless and wire line network simultaneously using the processor present in the electronic device,
creating plurality of backbone/core network between aggregation points using wireless and wire line network simultaneously using the processor present in the electronic device.