双智能反射面辅助的上行链路通信调度分析
Uplink Communication Scheduling Analysis with Assistance of Dual Intelligent Reflecting Surfaces
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摘要: 本文旨在研究一种基于双智能反射面(Intelligent Reflecting Surface,IRS)辅助的上行链路多用户通信方案,以提高用户的信息传输速率。研究提出了一种合作式被动波束成形技术,作为新型的IRS反射波束成形技术。与传统的被动波束成形技术不同的是,合作式被动波束成形技术允许不同的IRS之间进行协作,能够进一步提高系统性能。通过联合优化基站(Base Station, BS)处的接收波束成形和两个分布式IRS(分别部署在BS和用户附近)处的合作式反射波束成形,本研究能够最大化用户的信息传输速率。仿真实验的结果展示了基于双IRS辅助的多用户调度通信系统在最大化信息传输速率方面的显著优势。此外,本文量化比较了我们的方案与现有类似方案的性能改进。仿真结果表明,相较于现有方案,本系统在提高信息传输速率方面有显著的性能提升。特别是在用户数量较大时,双IRS合作系统可以更好地克服路径损耗和多路径干扰,进一步提高系统的性能表现。本研究的创新点总结如下:1)提出了合作式被动波束成形技术作为一种新型的IRS反射波束成形技术,具有重要的理论和实用价值;2)通过联合优化基站处的接收波束成形和两个分布式IRS处的合作式反射波束成形,实现了多用户通信系统的性能最大化;3)在仿真实验中展示了基于双IRS辅助的多用户调度通信系统在最大化信息传输速率方面的显著优越性。本研究不仅为IRS辅助通信技术的推广提供了有益的参考,也为未来智能无线通信系统的发展提供了重要的支持。同时,也为IRS辅助用户调度技术的发展提供了新的思路和方法。Abstract: This study investigated a multi-user communication scheme for uplink channels that used intelligent reflecting surfaces (IRSs). This scheme made it possible to fully exploit the beamforming gain of the IRSs and improve the information transmission rate to users. A cooperative passive beamforming technique was investigated as a novel IRS beamforming technology. Unlike traditional passive beamforming techniques, the cooperative passive beamforming technique allows collaboration among different IRS elements, thereby further enhancing the system performance. The users' information transmission rate is maximized by jointly optimizing the receive beamforming at the base station (BS) and cooperative reflective beamforming at two distributed IRS elements (deployed near the BS and users). Simulation results demonstrated the significant advantages of a multi-user scheduling communication system assisted by dual IRSs in maximizing the information transmission rate. Furthermore, this paper quantitatively evaluates the performance improvement provided by our proposed solution compared with similar existing approaches. The simulation results showed a significant performance enhancement in terms of improving the information transmission rate compared to existing solutions. In particular, the cooperative system with dual IRSs exhibited better resilience against path loss and multipath interference, thereby further enhancing the system performance, especially with a large number of users. The innovative contributions of this research can be summarized as follows: 1) proposing cooperative passive beamforming as a novel IRS beamforming technology with significant theoretical and practical value; 2) maximizing the performance of a multi-user communication system through joint optimization of the receive beamforming at the base station and cooperative reflective beamforming at two distributed IRS elements; 3) demonstrating the significant advantages of a multiuser scheduling communication system assisted by dual IRSs in maximizing the information transmission rate through simulation experiments. This research not only provides valuable references for promoting IRS-assisted communication technology but also offers significant support for the development of future intelligent wireless communication systems. Additionally, it provides new ideas and methods for the development of IRS-assisted user scheduling techniques.