User Movement Stability-Based Adaptive Inter-Cell Transition Delay Method

Abstract

The invention relates to an adaptive inter-cell handover delay method based on user movement stability, developed for use in mobility management systems to optimize cell-to-cell handover processes for mobile users in cellular communication networks. This method analyzes user movement behavior to reduce unnecessary handover operations and improve connection stability.

Description

1 TARIFF Adaptive Inter-Cell Transition Delay Based on User Movement Stability Method Technical Area The invention modifies the cell switching processes of mobile users in cellular communication networks. Used in the field of mobility management systems to optimize user experience. by analyzing movement behaviors, unnecessary handover (intercellular transfer) processes are identified. Developed to reduce user movement and improve connection stability. It is related to the adaptive intercellular transition delay method based on stability. State of the Art 10 Nowadays, handover decisions in existing cellular communication systems are mostly made in this way. RSRP (Reference Signal Received Power), RSRQ (Reference Signal Received Quality), SINR (Signal-to-Noise Ratio) Interference-plus-noise ratio (Signal-to-Interference-plus-Noise Ratio) and neighboring cell signal. This is carried out based on instantaneous radio measurements such as LTE (Long-15) levels. Classical methods used in Term Evolution (TTE) and 5G (Fifth Generation) networks. Handover mechanisms operate through specific threshold values ​​and time-to-trigger parameters. It works in these methods. In these methods, the user device takes the signal from the neighboring cell from the current cell. The handover process is initiated when it detects a stronger signal than a certain level. However, dense city areas, high-rise buildings, vehicle traffic, metro entrances, and indoor-outdoor (indoor 20 In complex radio environments, such as ambient-to-outside (outside-outside) transitions, signal levels drop for short periods. and can show sudden fluctuations. Current algorithms assess the continuity and directional stability of user movement behavior. Because it did not analyze short-term signal changes sufficiently, it did not interpret them as actual cell changes. 25 They can interpret this as a need. This situation is especially true in ping-pong handovers. This leads to unnecessary cell movement, called (repetitive intercellular movement). This opens up the possibility of sudden changes in user speed and direction in existing systems. Deviations are often not directly integrated into handover decision-making processes. As a result, there is increased signaling load, high core network processing cost, and latency of 30. 2 This leads to technical problems such as packet loss and connection instability. Unnecessary handover operations for base stations, especially in high-user scenarios. It also reduces resource utilization efficiency. 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. 5 It has been made. 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. The main purpose of the invention is to analyze the motion stability of the user device over a short period of 10 minutes. adaptively handles unnecessary handover operations caused by signal fluctuations. The goal is to develop a method that offers a smart mobility management mechanism that postpones the process. The method analyzes not only instantaneous signal levels but also the user's direction of movement. continuity, rate of change of speed, position stability and signal ripple patterns by evaluating together whether the handover decision is really necessary 15 This determines the need for unnecessary cell switching during short-term coverage changes. It is being filtered and connection continuity is being maintained. Another objective of the invention is to analyze the motion stability of the user device via a motion stability analysis module. by examining the movement history, directional deviations and velocity instabilities It is the calculation. 20 Another objective of the invention is to achieve the desired result through an adaptive handover delay engine. This involves delaying the handover process by dynamic durations based on the motion stability score. Another objective of the invention is to predict short-term signals through a signal behavior prediction module. Predicting whether declines are temporary or permanent through time series analysis It is done. 25 Another objective of the invention is to coordinate cell load and mobility via a network load and mobility coordination module. Optimal handover by considering density and user mobility together. It is about establishing the timing. Thus, ping-pong handover problems is being reduced, signal load is being decreased, and the mobile user experience is being improved. is being improved. 30 3 To achieve the objectives described above, cellular communication networks are necessary. In order to optimize the cell transition processes of users' mobile devices, By analyzing user movement behavior, unnecessary inter-cell transitions are eliminated. Adaptive, based on user movement stability, reduces and increases connection stability. A method for delaying intercellular transfer has been developed, and the method in question is: 5 - User motion tracking module, mobile device's location, speed and movement continuously collecting directional information, - simultaneously the signal measurement analysis module, to the current cell and neighboring cells analyzes the signal levels and signal fluctuation behavior of the relevant signals. - The acquired motion and signal data are entered into the motion stability analysis module 10 transfer and motion stability analysis module of user movement Calculating continuity, frequency of directional changes and speed stability, - The signal behavior prediction module anticipates temporary, short-term signal drops. is it due to environmental impacts or actual coverage change? evaluating the source through time series analysis, 15 - transmitting the aforementioned analysis results to the adaptive handover delay engine. and the handover delay time by the adaptive handover delay engine dynamic determination and handover process of user movement delayed for specific periods depending on the decision, - Network load and mobility coordination module, cell density and network resources 20 optimize handover timing taking use case into account to do, - the decision management module for inter-cell transitions, all analysis results by evaluating the situation, it can initiate or postpone the handover process. - central mobility management server, system-wide mobility 25 updating its parameters, - Ping-pong handover rates, via the network performance monitoring interface. actual performance outputs such as link stability and signal load timely monitoring, - When movement behavior changes, the adaptive handover delay engine will delay the process by 30 minutes. re-optimization of handover parameters It includes the steps involved in the process. 4 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. Figures to Help Understand the Invention 5 Figure 1 shows the adaptive intercellular system based on user movement stability, which is the subject of the invention. The elements that enable the implementation of the transition deferral method are interconnected. It is a representative drawing that shows the relationship. Explanation of Part References 10. User movement tracking module 10 20. Signal measurement and analysis module 30. Motion stability analysis module 40. Signal behavior prediction module 50. Adaptive handover delay engine 60. Network load and mobility coordination module 15 70. Inter-cell transition decision management module 80. Central mobility management server 90. Network performance monitoring interface Detailed Description of the Invention In this detailed explanation, the preferred configurations of the method described in the invention are only 20 This is explained to facilitate a better understanding of the subject. The invention is an adaptive intercellular transition based on user movement stability. The factors that enable the implementation of the postponement method are as follows: - User movement tracking module (10), - Signal measurement analysis module (20), 25 - motion stability analysis module (30), - Signal behavior prediction module (40), - adaptive handover delay engine (50), - Network load and mobility coordination module (60), - Inter-cell transition decision management module (70), 5 - central mobility management server (80) and - Network Performance Monitoring Interface (90). User motion tracking module (10) records the position, speed and direction information of the user device. It is the data collection unit that monitors the signal measurement analysis module (20), cell signal levels It is a measurement module that analyzes signal fluctuation behavior. Motion stability 10 Analysis module (30), which calculates user movement continuity and directional stability. It is the unit. The signal behavior prediction module (40) predicts temporary or short-term signal changes. It is a prediction module that estimates whether it is permanent or not. Adaptive handover delay. The motor (50) is the decision mechanism that dynamically delays the handover decision. Network load and mobility coordination module (60), cell density and user mobility together 15 It is the optimization module that evaluates. Inter-cell transition decision management module (70), It is the control unit that manages the final handover process. Central mobility management server (80) is the network control infrastructure that centrally manages all mobility processes. Network The performance monitoring interface (90) monitors handover performance and connection stability. It is the display management interface. 20 The method described in the invention is carried out as follows: - User motion tracking module when the method described in the invention starts operating. (10), constantly monitor the location, speed and direction of movement information of the mobile device. It collects. 25 - Simultaneously, the signal measurement analysis module (20) measures the current cell and neighboring cells. It analyzes the signal levels and signal fluctuation behavior of the relevant signals. - The obtained motion and signal data are sent to the motion stability analysis module (30) is being transmitted and here the continuity of user movement, frequency of direction changes and Speed ​​stability is being calculated. 30 - Signal behavior prediction module (40), temporary short-term signal drops is it due to environmental impacts or actual coverage change? It evaluates the source of this through time series analysis. 6 - These analysis results are transmitted to the adaptive handover delay engine (50) and Handover delay time by adaptive handover delay engine (50) It is dynamically determined and the handover process is based on user movement. Depending on the decision, it is delayed for specific periods. Thus, especially Unnecessary cell switching during short-term coverage changes 5 It is being filtered. - Network load and mobility coordination module (60), cell density and network resources optimize handover timing taking use case into account is doing. - Inter-cell transition decision management module (70), all analysis results 10 It evaluates the situation and either initiates or postpones the handover process. - Central mobility management server (80), system-wide mobility It updates its parameters. - Network performance monitoring interface (90), ping-pong handover rates, connection Real-time 15 of performance outputs such as stability and signal load. It enables monitoring. - Adaptive handover delay motor when movement behavior changes (50) The handover parameters are re-optimized.

Claims

7 REQUESTS 1. In cellular communication networks, users' mobile devices switch between cells. In order to optimize processes, by analyzing user movement behavior reducing unnecessary intercellular transitions and increasing connection stability, User-based adaptive intercellular transition delay method 5 Its characteristic is: - User motion tracking module (10), mobile device location, speed and movement continuously collecting directional information, - simultaneously the signal measurement analysis module (20), adjacent to the current cell Analyze the signal levels and signal fluctuation behavior of the cells. 10 to do, - The acquired motion and signal data are entered into the motion stability analysis module. (30) transfer and motion stability analysis module (30) user Calculating the continuity of motion, frequency of direction changes, and speed stability. - signal behavior prediction module (40), temporary 15 of short-term signal drops is it due to environmental impacts or actual coverage change? evaluating its origin through time series analysis, - the aforementioned analysis results to the adaptive handover delay engine (50) transmission and adaptive handover delay engine (50) by handover Dynamic determination of the deferment period and handover process 20 Delaying the movement for specific periods depending on the user's mobility stability. - Network load and mobility coordination module (60), cell density and network timing the handover, taking into account resource utilization. to optimize, - Inter-cell transition decision management module (70), all analysis results 25 by evaluating the situation, it can initiate or postpone the handover process. - central mobility management server (80), system-wide mobility updating its parameters, - Ping-pong handover rates via the network performance monitoring interface (90), Performance outputs such as link stability and signal load are actually 30%. timely monitoring, - adaptive handover delay motor when movement behavior changes (50) re-optimization of handover parameters It includes the steps of the process. 35

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