About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Communications and Networking. 16th EAI International Conference, ChinaCom 2021, Virtual Event, November 21-22, 2021, Proceedings

Research Article

Robust Transmission Design for IRS-Aided MISO Network with Reflection Coefficient Mismatch

Download(Requires a free EAI acccount)
3 downloads
Cite
BibTeX Plain Text
  • @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
Ran Yang1,*, Ning Wei2, Zheng Dong1, Hongji Xu1, Ju Liu1
  • 1: School of Information Science and Engineering
  • 2: National Key Laboratory of Science and Technology on Communications
*Contact email: yangran6710@outlook.com

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.

Keywords
Intelligent reflection surface (IRS) Robust design Convex optimization Reflection coefficient error Discrete phase shift
Published
2022-04-05
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-99200-2_12
Copyright © 2021–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL