论文标题

智能反射表面辅助全双工通信:被动边界和部署设计

Intelligent Reflecting Surface Aided Full-Duplex Communication: Passive Beamforming and Deployment Design

论文作者

Cai, Yunlong, Zhao, Ming-Min, Xu, Kaidi, Zhang, Rui

论文摘要

本文研究了智能反射表面(IRS)辅助完整无线无线系统的被动横梁形成和部署设计,其中FD访问点(AP)在同一时间频率尺寸同时与IRS的帮助同时与上行链路(UL)用户(ul)用户(DL)用户进行通信。在此设置下,我们考虑了三种部署案例:1)分别放置在UL用户和DL用户附近的两个分布式IRS; 2)位于DL用户附近的一个集中式IR; 3)将一个集中的IRS放置在UL用户附近。在每种情况下,我们旨在通过共同优化IRS(或IRS)的被动反射系数,并受到UL和DL用户的速率约束以及IRS反射系数的uni-Modulus约束,旨在最大程度地降低AP和UL用户的加权总和传输功耗。首先,我们分析了每个部署方案下IRS AID的FD系统所需的最小传输功率,并将其与相应的半双链(HD)系统的最低传输功率进行比较。我们表明,FD系统在所有IRS部署方案中都优于其高清对应物,而分布式部署进一步优于其他两个集中式部署计划。接下来,我们将具有挑战性的功率最小化问题转换为等效但更可行的形式,并提出了一种有效的算法来基于块坐标下降(BCD)方法来解决它。最后,提出数值结果以验证我们的分析以及所提出的无源光束设计的功效。

This paper investigates the passive beamforming and deployment design for an intelligent reflecting surface (IRS) aided full-duplex (FD) wireless system, where an FD access point (AP) communicates with an uplink (UL) user and a downlink (DL) user simultaneously over the same time-frequency dimension with the help of IRS. Under this setup, we consider three deployment cases: 1) two distributed IRSs placed near the UL user and DL user, respectively; 2) one centralized IRS placed near the DL user; 3) one centralized IRS placed near the UL user. In each case, we aim to minimize the weighted sum transmit power consumption of the AP and UL user by jointly optimizing their transmit power and the passive reflection coefficients at the IRS (or IRSs), subject to the UL and DL users' rate constraints and the uni-modulus constraints on the IRS reflection coefficients. First, we analyze the minimum transmit power required in the IRS-aided FD system under each deployment scheme, and compare it with that of the corresponding half-duplex (HD) system. We show that the FD system outperforms its HD counterpart for all IRS deployment schemes, while the distributed deployment further outperforms the other two centralized deployment schemes. Next, we transform the challenging power minimization problem into an equivalent but more tractable form and propose an efficient algorithm to solve it based on the block coordinate descent (BCD) method. Finally, numerical results are presented to validate our analysis as well as the efficacy of the proposed passive beamforming design.

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