
Research Article
Robust Transmission Design for IRS-Aided MISO Network with Reflection Coefficient Mismatch
@INPROCEEDINGS{10.1007/978-3-030-99200-2_12, author={Ran Yang and Ning Wei and Zheng Dong and Hongji Xu and Ju Liu}, title={Robust Transmission Design for IRS-Aided MISO Network with Reflection Coefficient Mismatch}, proceedings={Communications and Networking. 16th EAI International Conference, ChinaCom 2021, Virtual Event, November 21-22, 2021, Proceedings}, proceedings_a={CHINACOM}, year={2022}, month={4}, keywords={Intelligent reflection surface (IRS) Robust design Convex optimization Reflection coefficient error Discrete phase shift}, doi={10.1007/978-3-030-99200-2_12} }
- Ran Yang
Ning Wei
Zheng Dong
Hongji Xu
Ju Liu
Year: 2022
Robust Transmission Design for IRS-Aided MISO Network with Reflection Coefficient Mismatch
CHINACOM
Springer
DOI: 10.1007/978-3-030-99200-2_12
Abstract
Intelligent reflection surface (IRS) has been recognized as a revolutionary technology to achieve spectrum and energy efficient wireless communications due to its capability to reconfigure the propagation channels. However, due to the limited cost and space of each reflection element, it is difficult to accurately adjust the reflection coefficients of the passive elements. In this paper, we propose a worst-case robust reflection coefficient design for an IRS-aided single-user multiple-input single-output (SU-MISO) system where one IRS is deployed to enhance the received signal quality. Based on the fact of imperfect adjustment of reflection coefficients, our goal is to minimize the transmission power subject to the signal-noise ratio (SNR) constraint on the receiver end and the unit-modulus constraints on the reflection coefficients. The resulting optimization problem is non-convex and in general hard to solve. To tackle this problem, we adopt the linear approximation and alternating optimization (AO) methods to convert the original optimization problem into a sequence of convex subproblems that could be efficiently solved. We then extend our work to a practical situation where only limited phase shifts at each element are available. Numerical results demonstrate the robustness of the transmission scheme and show that high resolution for phase shifts is not an essential condition to approach the ideal performance.