Wireless communication dynamic anti-interference optimization method and platform based on edge calculation

By collecting and analyzing wireless communication interference characteristics in real time through an edge computing platform, generating adaptive anti-interference strategies and performing cloud-based compensation, the problems of delayed real-time response and insufficient global adaptability in wireless communication anti-interference are solved, thereby improving the real-time performance and reliability of communication.

CN121968156APending Publication Date: 2026-05-01SHIJIAZHUANG BUMU ELECTRONIC CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHIJIAZHUANG BUMU ELECTRONIC CO LTD
Filing Date
2026-02-05
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

Existing wireless communication anti-interference technologies suffer from delayed real-time response and insufficient global adaptability, making it difficult to balance the needs of immediate local response with overall reliable anti-interference, thus affecting the stability and reliability of communication links.

Method used

The method and platform for dynamic anti-interference optimization of wireless communication based on edge computing collects wireless channel state information and external interference source characteristics in real time through edge nodes, constructs real-time interference feature vectors, generates interference prediction matrix using interference prediction model, constructs dynamic interference topology map, generates adaptive anti-interference strategy through reinforcement learning, performs strategy compensation in combination with cloud coprocessor, and finally executes anti-interference control at edge nodes.

Benefits of technology

It achieves real-time edge anti-interference and cloud-based global collaborative optimization, improving the real-time performance and reliability of wireless communication and enhancing anti-interference adaptability.

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Abstract

The invention discloses a wireless communication dynamic anti-interference optimization method and platform based on edge computing, and relates to the technical field of wireless communication anti-interference, and the method comprises the steps: collecting wireless channel state information and external interference source features in real time at an edge node, and constructing a real-time interference feature vector according to a collected data set; generating an interference prediction matrix; constructing a dynamic interference topological graph among network nodes, taking the dynamic interference topological graph as environment input, and utilizing reinforcement learning to generate an adaptive anti-interference strategy; and executing self-adaptive anti-interference strategy compensation, issuing a compensation result to the edge node, and executing anti-interference control. The technical problems that in the prior art, wireless communication anti-interference real-time response lags behind, global adaptability is insufficient, and local immediate response and overall reliable anti-interference requirements are difficult to consider are solved, and edge real-time anti-interference and cloud global collaborative optimization are achieved. And the technical effects of real-time performance, reliability and adaptability of wireless communication anti-interference are improved.
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Citation Information

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