Research on Anti-Interference Technology for Multi-User Wireless Communication Based on DQN

Intelligent algorithms possess extensive potential for application in the realm of wireless communication. A deep Q-network-based adaptive intelligent communication anti-interference technology is proposed to enhance the anti-interference ability in multi-user communication. The study analyzed different types of interference signals and constructed an anti-interference model grounded on the deep Q network algorithm. The experiment findings indicate that in the sweep interference mode, there is no overlap of user signals, and the interference signals are effectively avoided, resulting in an increase in throughput to 0.93. In addition, in comparison with the comparative algorithms, the proposed method has significantly improved throughput. The technology has effectively improved the anti-interference ability of wireless communication under multi-user communication, especially in complex interference environments, demonstrating good practical application prospects.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/ccnis64984.2024.00043
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
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article

Research on Anti-Interference Technology for Multi-User Wireless Communication Based on DQN

Meiling Zhan
Energy Efficient Wireless Sensor Networks
article

Research on Anti-Interference Technology for Multi-User Wireless Communication Based on DQN

Meiling Zhan
article en

Abstract

Intelligent algorithms possess extensive potential for application in the realm of wireless communication. A deep Q-network-based adaptive intelligent communication anti-interference technology is proposed to enhance the anti-interference ability in multi-user communication. The study analyzed different types of interference signals and constructed an anti-interference model grounded on the deep Q network algorithm. The experiment findings indicate that in the sweep interference mode, there is no overlap of user signals, and the interference signals are effectively avoided, resulting in an increase in throughput to 0.93. In addition, in comparison with the comparative algorithms, the proposed method has significantly improved throughput. The technology has effectively improved the anti-interference ability of wireless communication under multi-user communication, especially in complex interference environments, demonstrating good practical application prospects.

Changzhou Vocational Institute of Light Industry (CN)
Openalex Percentile: Top 67%
Energy Efficient Wireless Sensor Networks
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