LIU Cui, RUI Xianyi. Uplink Communication Scheduling Analysis with Assistance of Dual Intelligent Reflecting Surfaces[J]. JOURNAL OF SIGNAL PROCESSING, 2024, 40(2): 356-363. DOI: 10.16798/j.issn.1003-0530.2024.02.013
Citation: LIU Cui, RUI Xianyi. Uplink Communication Scheduling Analysis with Assistance of Dual Intelligent Reflecting Surfaces[J]. JOURNAL OF SIGNAL PROCESSING, 2024, 40(2): 356-363. DOI: 10.16798/j.issn.1003-0530.2024.02.013

Uplink Communication Scheduling Analysis with Assistance of Dual Intelligent Reflecting Surfaces

  • ‍ ‍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.
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