Base Station Investment Optimization and Capacity Planning Method

Abstract

The invention relates to a method used in mobile telecommunications, radio access networks, AI-powered capacity planning, and smart city infrastructure management that utilizes urbanization and new construction data to perform base station positioning, coverage optimization, and capacity planning in an AI-powered manner.

Description

1 TARIFF Base Station Investment Optimization and Capacity Planning Method Technical Area The invention is related to mobile telecommunications, radio access networks (RAN), and artificial intelligence. Used in the fields of capacity planning and smart city infrastructure management, urbanization and 5 Base station positioning and coverage using new building data. performing optimization and capacity planning with the help of artificial intelligence This method is related to urban planning projects, building permits, building types, and population density. predictions and current RAN KPI (Radio Access Network Key Performance Indicator / By analyzing Radio Access Network Key Performance Indicator (KPI) data together, we can identify the new 10 It automatically determines base station needs and capacity increases. State of the Art Today, base station planning processes mostly involve manual analyses and field work. This is done through measurements and historical traffic data. The current methods... The shortcomings are as follows: 15 - The delay in new building information reaching operator systems, - planning's dependence on human intervention, - the inability to predict traffic increases in advance, - taking action based only on current KPI data, - Late capacity investment in new residential areas, 20 - unnecessary capacity investment in some regions. These shortcomings negatively impact both user experience and investment. It increases costs. In conclusion, due to the negative aspects described above and the current solutions being the subject of discussion... Due to its shortcomings, an improvement in the relevant technical field is necessary. 25 It has been made. Purpose of the Invention 2 The invention was created by drawing inspiration from existing situations and overcoming the aforementioned drawbacks. It aims to solve the problem. One goal of the invention is automated base station planning using artificial intelligence. Another purpose of the invention is to predict future traffic needs based on urban development projects. is to do. 5 Another aim of the invention is to determine the capacity requirement by analyzing the type of new structures. to determine. Another aim of the invention is to combine RAN KPI data with real traffic behavior. It is to evaluate. Another aim of the invention is proactive capacity building. 10 Another objective of the invention is to optimize investment costs. Another aim of the invention is to improve coverage and user experience. Another purpose of the invention is for residential buildings, shopping malls, stadiums, roads, and sports complexes. and similar large-scale construction projects, according to different traffic models It is the ability to plan. 15 Another aim of the invention is to base calculations not on current traffic, but on future traffic projections. The goal is to plan the station. To achieve the objectives described above, mobile telecommunications and radio are necessary. access network, AI-powered capacity planning and smart city infrastructure management Base station 20, used in the fields, by using urbanization and new construction data. AI-powered positioning, coverage optimization, and capacity planning. A method has been developed that accomplishes this, and the method in question is: - the zoning and building data collection module, for municipalities, official institutions and others automatically obtaining new construction information from authorized sources, - The collected data is processed by an artificial intelligence analysis engine and the relevant 25 potential user density and mobile data traffic in the region estimating the need, 3 - During the same process, the RAN KPI Analysis Module monitors the traffic of existing base stations. load, capacity utilization rate, coverage performance and service quality analyzing the indicators, - traffic predictions generated by artificial intelligence and current network performance. The data is gathered together by the base station planning module. 5 evaluation and, as a result of this evaluation, a new base station areas where establishment is needed, coverage improvement needs or Identifying areas that require increased capacity, - capacity optimization module for the designated areas in the existing network Capacity building to ensure the most efficient use of resources, 10 proposals for adding carriers, expanding the sector or investing in new sites to create, - actual traffic behavior observed after the implemented investments and Performance results are continuously monitored through a feedback and learning module. 15 It includes the steps involved in the process. The structural and characteristic features and all the advantages of the invention are given in the figures below. This becomes clearer thanks to the detailed explanation written with references to these figures. This will be understood, and therefore the evaluation should also take these forms and detailed explanations into consideration. It needs to be done by taking precautions. 20 Figures that will help understand the invention. Figure 1 shows the elements that enable the realization of the method described in the invention. It is a representative drawing that shows the relationship between them. Explanation of Part References 1. Zoning and building data collection module 25 2. Artificial intelligence analysis engine 3. RAN KPI analysis module 4. Base station planning module 5. Capacity optimization module 4 6. Feedback and learning module Detailed Description of the Invention In this detailed explanation, the preferred configurations of the method in question are described only. This is explained to facilitate a better understanding of the subject. The elements and features that enable the realization of the method described in the invention are as follows: 5 It is as follows: - The zoning and building data collection module (1) collects new data from municipal and official sources. It retrieves the building data. - The artificial intelligence analysis engine (2) analyzes the building type, potential user density and It analyzes traffic needs. 10 - RAN KPI analysis module (3) provides current network performance data. is evaluating. - Base station planning module (4), new site and capacity needs It determines. - Capacity optimization module (5), capacity increase according to traffic density 15 It recommends. - Feedback and learning module (6), AI based on real traffic behavior It is updating its (artificial intelligence) model. The procedural steps of the method described in the invention are as follows: - the zoning and building data collection module (1), municipalities, official institutions and 20 Automatically obtains new construction information from other authoritative sources. (data (information) provided; type of structure, intended use, independent (including parameters such as number of sections, location information, etc.) - the collected data is processed by the artificial intelligence analysis engine (2) and related Potential user density and mobile data traffic in the region 25 estimating the need, - traffic of existing base stations in the same process of RAN KPI analysis module (3) load, capacity utilization rate, coverage performance and service quality analyzing the indicators, - traffic predictions generated by artificial intelligence and current network performance. by combining the data and the base station planning module (4) 5 evaluation and, as a result of this evaluation, a new base station areas where establishment is needed, coverage improvement needs or Identifying areas that require increased capacity, - capacity optimization module (5) for the specified regions existing network Capacity building to ensure the most efficient use of resources, 10 proposals for adding carriers, expanding the sector or investing in new sites to create, - actual traffic behavior observed after the implemented investments and through the feedback and learning module (6) of performance results Continuous monitoring. 15 The results obtained during monitoring can be used in retraining artificial intelligence models. By using this method, prediction accuracy is increased. Thus, in order to create a learning structure, The system's performance is improved over time. The areas in which the invention can be used are as follows: - 5G / 6G network planning, 20 - smart city infrastructures, - large event spaces, - highway and transportation projects, - Shopping mall and stadium planning, - Edge network layout. 25

Claims

6 REQUESTS 1. Mobile telecommunications, radio access network, AI-powered capacity. Used in the fields of planning and smart city infrastructure management, urbanization and new Base station positioning and coverage using building data. 5 that perform optimization and capacity planning with the help of artificial intelligence. It is a method, and its characteristic is; - the urban planning and building data collection module (1), municipalities, official institutions and Automatically obtains new construction information from other authoritative sources. to do, - the collected data is processed by the artificial intelligence analysis engine (2) and the related 10 potential user density and mobile data traffic in the region estimating the need, - traffic of existing base stations in the same process of RAN KPI analysis module (3) load, capacity utilization rate, coverage performance and service quality analyzing the indicators, 15 - traffic predictions generated by artificial intelligence and current network performance. by bringing together the data and the base station planning module (4) evaluation and, as a result of this evaluation, a new base station areas where establishment is needed, coverage improvement needs or Identifying areas requiring capacity increase, 20 - capacity optimization module (5) for the specified regions existing network capacity building that will ensure the most efficient use of resources, proposals for adding carriers, expanding the sector or investing in new sites to create, - actual traffic behavior observed after the implemented investments and 25 through the feedback and learning module (6) of performance results continuous monitoring It includes the steps of the process.

2. The method is compliant with Request 1 and its feature is the collection of zoning and building data module (1), municipalities, official institutions and other authorized sources provide information on new construction projects. In the automatic data procurement step, the procured data includes: structure type, parameters such as intended use, number of independent sections, location information, and so on. It includes. 7 3. This method complies with Claim 1 and its characteristic feature is that it generates revenue after the investments are put into operation. feedback and learning from real traffic behaviors and performance results During the process step of continuous monitoring through module (6), the accuracy of the prediction to ensure that the results obtained during monitoring are improved, artificial intelligence It is used in retraining the models. 5