A Discrete Passive Beamforming Technique for an IRS-aided MISO System with Imperfect CSI

被引：1

作者：

Omid, Yasaman ^{[1
]}

Shahabi, S. M. Mahdi ^{[2
]}

Nallanathan, Arumugam ^{[1
]}

机构：

[1] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London, England

[2] Kings Coll London, Dept Engn, London, England

来源：

2023 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC | 2023年

关键词：

Intelligent Reflecting Surface; Reconfigurable Intelligent Surface; Robust Design; Penalty Dual Decomposition; Discrete IRS; INTELLIGENT REFLECTING SURFACES; WIRELESS COMMUNICATIONS; DESIGN; ROBUST; NOMA;

D O I：

10.1109/IWCMC58020.2023.10183186

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This study investigates the downlink transmission of a multiple-input single-output (MISO) communication system with an intelligent reflecting surface (IRS) under channel uncertainty. The problem of maximizing the sum-rate is formulated by incorporating the channel estimation error footprints, and it is solved through joint optimization of the active precoding at the access point (AP) and passive beamforming at the IRS using the penalty dual decomposition (PDD) algorithm. The PDD algorithm is iterative, has guaranteed convergence, and yields closed-form solutions in each iteration, resulting in low computational complexity. Two cases of continuous and discrete phase shifts at the IRS are considered. Simulation results indicate the effectiveness of the proposed method in handling channel uncertainty for both continuous and discrete phase shifts.

引用

页码：1400 / 1405

页数：6

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