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Physical Layer Security Enhancement Assisted by Intelligent Reflecting Surface Based on Deep Q Network

期刊名字: International Journal of Multidisciplinary Research and Publications (Vol.7, No. 3)

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论文作者 : ;

起始页码 : 21-24

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论文摘要

With the rapid development of wireless communication technologies, particularly the evolution of 5G and the anticipation of 6G systems, the importance of Physical Layer Security (PLS) as a crucial technology for ensuring wireless communication security has become increasingly significant. This paper introduces an Intelligent Reflecting Surface (IRS)-assisted PLS enhancement scheme based on Deep Q-Network (DQN). The objective of this scheme is to optimize wireless channel conditions by dynamically adjusting IRS parameters, ultimately enhancing both the system's security and communication efficiency. The paper commences by outlining the fundamental workings of IRS and its vast potential in bolstering PLS. Subsequently, it delves into the intricate details of the IRS optimization strategy rooted in DQN. Lastly, the effectiveness of this proposed scheme is substantiated through rigorous simulation experiments.

更新日期: 2024-09-04 20:41:44