Method for Predicting Inter-Cell Transition Behavior Using a Multilayer RAN Digital Twin

Abstract

The invention relates to a method used in 5G-Advanced and 6G mobile communication systems to improve mobility management and handover processes in radio access networks. Specifically, it aims to enhance the accuracy and continuity of handover decisions in cellular networks with high user mobility and advanced radio technologies such as M-MIMO (Massive MIMO) and beamforming, by analyzing and predicting handover behavior through a multi-layered RAN (Radio Access Network) digital twin encompassing the radio layer, cell planning layer, and network control layer.

Description

1 TARIFF Method for Predicting Inter-Cell Transition Behavior Using a Multilayer RAN Digital Twin Technical Area The invention relates to radio technology in 5G-Advanced and 6G mobile communication systems. 5 in the field of improving mobility management and handover processes of access networks used, especially in high-volume user mobility, M-MIMO (Massive MIMO / Very Large Advanced radio technologies such as scaled multiple input multiple output and beamforming. In cellular networks where these technologies are used, handover decisions radio layer, cell planning layer and network control that increase its accuracy and continuity a multilayered RAN (Radio Access Network) encompassing layers through the digital twin of the network, handover behaviors can be analyzed in advance and It is related to a method aimed at making predictions. State of the Art In current mobile communication networks, handover decisions are primarily based on instantaneous signal strength. Based on measurements, threshold values, and feedback from user equipment, 15 This approach takes into account dynamic environmental changes, cell load states, and It fails to comprehensively evaluate the effects of beamforming, especially at high levels. In frequency bands and systems using narrow-beam transmission, sudden signals Fluctuations can lead to unnecessary or unsuccessful handovers. Current Solutions generally operate reactively; analysis is required after handover issues occur. Improvements are being made. Additionally, information belonging to different network layers is being presented separately. This approach makes it difficult to accurately predict handover behaviors. In conclusion, due to the negative aspects described above and the current solutions being the subject of discussion... Due to its shortcomings, an improvement is needed in the relevant technical field. It has been made. 25 Purpose of the Invention The invention was created by drawing inspiration from existing situations and overcoming the aforementioned drawbacks. It aims to solve the problem. 2 The method described in the invention enables radio layering, cell topology, and beamforming. A multilayer RAN digital network represents different network layers, such as structure and traffic load. A twin is being created. This is constantly updated with measurements collected from the real grid. Thanks to the digital twin, user mobility and cell behavior can be predicted in a virtual environment. This can be analyzed. Handover decisions are based not only on instantaneous signal measurements but also on digital 5 predicted cell performance and mobility scenarios on twins This approach is based on reducing unsuccessful handover rates and eliminating unnecessary handovers. An innovative handover that prevents cell crossings and improves user experience. It offers management. To achieve the objectives described above, the radio layer, cell planning 10 via a multilayer RAN digital twin encompassing the network control layers, pre-analysis and prediction of intercellular transition behaviors A method has been developed that provides this, and the method in question is: - base stations via real-time network data collection unit and Collection of measurements related to user equipment, 15 - by the mobility and scenario modeling unit, radio signal characteristics, cell coverage areas, M-MIMO and beamforming parameters, cell load to represent information and user mobility patterns together from the real network to the configured multilayer RAN digital twin module environment sharing the performance metrics obtained and user feedback, 20 - Different user actions on the multilayer RAN digital twin module By simulating scenarios and network conditions, possible inter-cell transitions can be determined. their states, through the intercellular transition behavior prediction module predicting in advance, - Based on these predictions, the conditions for triggering intercellular transitions are target 25. cell selection and timing parameters, inter-cell transitions optimization through the optimization and decision support unit 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. Thanks to the detailed explanation written with references to these figures, 30 is understood more clearly. 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. 3 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. Multilayer RAN Digital Twin Module 5 2. Real-time network data collection unit 3. Mobility and Scenario Modeling Unit 4. Inter-cell transition behavior prediction module 5. Inter-cell transition optimization and decision support unit Detailed Description of the Invention 10 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 that enable the realization of the method described in the invention are: - multilayer RAN digital twin module (1), - real-time network data collection unit (2), 15 - mobility and scenario modeling unit (3), - Intercellular transition behavior prediction module (4) and - Inter-cell transition optimization and decision support unit (5). Multilayer RAN digital twin module (1), radio, cell topology and traffic layers It is the element that represents together in the virtual environment. Real-time network data collection unit (2) 20 related to handover (inter-cell transfer) from base stations and user equipment It is the element that collects the measurements. Mobility and scenario modeling unit (3), user It is the element that creates the mobility and possible network scenarios on the digital twin. Cells inter-transition behavior prediction module (4), possible handover using digital twin outputs 4 It is a module that predicts the results in advance. Inter-cell transition optimization and decision-making. The support unit (5) optimizes the handover parameters according to the estimation results. The invention works on the principle of creating a multilayer digital twin of a real radio access network, that is... The creation of a multilayer RAN digital twin module (1), and this multilayer RAN digital It is based on the continuous updating of the twin module (1). 5 Multilayer RAN digital twin module (1), radio signal characteristics, cell coverage areas, M-MIMO and beamforming parameters, cell load information, and user mobility. The models are structured to represent each other together. Obtained from the real network. Performance metrics and user feedback, multilayer RAN digital twin module (1) is transferred to the environment and the accuracy of the model is increased. Multilayer RAN digital 10 Simulate different user movement scenarios and network conditions on the twin module (1) by predicting possible handover situations, inter-cell transition behavior module (4) This is predicted in advance through this method. Based on these predictions, handover Triggering conditions, target cell selections, and timing parameters, intercellular The transition is optimized through the transition optimization and decision support unit (5). Thus, 15 Before handover decisions are made on the live network, the potential consequences are assessed in a virtual environment. This is being evaluated and a more stable and seamless mobility management system is being implemented. The method described in the invention makes handover processes predictive by transforming them from reactive to progressive. It transforms it into a context-sensitive structure.

Claims

REQUESTS 1. A multi-layer system encompassing the radio layer, cell planning layer, and network control layer. Predicting intercellular switching behaviors via a layered RAN digital twin It is a method that enables analysis and prediction, and its characteristic feature is; - real-time network data collection unit (2) via base stations and 5 Collection of measurements related to user equipment, - by the mobility and scenario modeling unit (3), radio signal Features, cell coverage areas, M-MIMO and beamforming parameters, will represent cell load information and user mobility patterns together. to the multilayer RAN digital twin module (1) environment configured in this way, 10 performance metrics and user feedback obtained from the real network transfer, - different user actions on the multilayer RAN digital twin module (1) By simulating scenarios and network conditions, possible inter-cell transitions can be determined. their conditions, through the intercellular transition behavior prediction module (4) 15 predicting in advance, - Based on these predictions, the triggering conditions for intercellular transitions are the target. cell selection and timing parameters, inter-cell transitions optimization through the optimization and decision support unit (5) It includes the steps of the process. 20

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