智能反射表面(Intelligent Reflecting Surface,IRS)能够生成反射波束,动态调整信道环境,且具有低成本、低功耗和易部署等特点,在通信领域受到广泛关注,被认为是下一代移动通信系统的关键技术之一.针对IRS辅助的多用户多输入多输出(Multiple Input Multiple Output,MIMO)系统,在已知统计信道状态信息(Channel State Information,CSI)的情况下,基于用户公平性考虑,优化IRS相位以最大化用户中的最差安全速率.考虑了混合链路和存在窃听者的情况,给出了最大可达安全速率(Achievable Security Data Rate,ASDR)的表达式,将相应优化问题予以归纳,提出了粒子群算法(Particle Swarm Optimization,PSO)解决问题.仿真展示了提出算法的性能,与若干基线方法做了对比,并给出了实际IRS设计所需的最小量化比特数.结果表明,提出的算法优于基线对比方法,可以有效地提升IRS-MIMO的系统性能.
Research on the Max-Min Security Rate of IRS-MIMO Broadcasting System
Intelligent Reflecting Surface(IRS)can generate reflection beams,dynamically adapt to channel conditions,and offers advantages such as cost-efficiency,low power consumption,and ease of deployment.It has received widespread attention in the field of communication and is considered as one of the key technologies for the next generation of mobile communication systems.For IRS-assisted multi-user Multiple Input Multiple Output(MIMO)systems,the phase of IRS is optimized to maximize the worst security data rate among users based on user fairness considerations with known statistical Channel State Information(CSI).Considering the hybrid links and the presence of eavesdroppers,an expression for the Achievable Security Data Rate(ASDR)is given,the corresponding optimization problem is generalized and Particle Swarm Optimization(PSO)is proposed to solve the problem.Simulations demonstrate the performance of the proposed algorithm,compare it with several benchmark methods,and give the minimum number of quantization bits required for practical IRS design.The results show that the proposed algorithm outperforms the benchmark methods and can effectively improve the system performance of IRS-MIMO.
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维普
