Wireless communication tracking area code edge optimization method based on auxiliary positioning data

By identifying and intelligently judging TAC interleaving hotspots, the problems of TAC optimization lag and ambiguity in existing technologies are solved, achieving precise optimization of wireless communication tracking area code edges, improving the success rate of cross-TAC handover and reducing latency.

CN122120807APending Publication Date: 2026-05-29NANJING HONGSONG INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202610184394.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-09
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing technologies, TAC optimization relies on network management KPIs, which suffers from lag, ambiguity, and low efficiency. It cannot detect and accurately locate TAC boundary issues in a timely manner, resulting in low success rate and high latency for cross-TAC handover, thus affecting user experience.

Method used

By collecting and preprocessing crowdsourced testing data and operator base station operating parameter data, TAC interleaving hotspot areas are identified. The root cause of the problem is intelligently determined by combining the sampling density of different TACs, and optimization strategies are automatically output and visualized to achieve precise optimization of wireless communication tracking code edges.

Benefits of technology

It improves the accuracy and efficiency of TAC edge optimization, reduces labor costs, avoids optimization imbalance, solves the problems of lag and ambiguity in relying on network management KPIs, and improves the success rate of cross-TAC handover and reduces latency.

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Abstract

The invention discloses a wireless communication tracking area code edge optimization method based on auxiliary positioning data, and the method comprises the steps: S1, collecting public test data and operator base station work parameter data, carrying out the cleaning of the collected public test data, carrying out the correlation with the operator base station work parameter data, and complementing the position information of a base station; s2, dividing the geographic area into regular grids, and counting different TAC densities in each grid; then, a screening strategy based on density is adopted, and hotspot grids are screened out; s3, extracting a service cell list according to the hotspot grids; for each TAC, calculating the average distance between the measurement position reported by the public measurement data measurement report and the working parameter position of the service cell; based on a preset distance threshold and in combination with the dominance of each TAC in the hotspot grid, establishing a discrimination logic tree, and obtaining a discrimination result; and S4, generating a specific optimization suggestion list according to a judgment result. The problems of hysteresis, fuzziness and low efficiency of TAC optimization depending on the network management KPI are solved.
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