Intelligent Reflecting Surface-Aided Backscatter Communications

Xiaolun Jia, Jun Zhao, Xiangyun Zhou, Dusit Niyato

    Research output: Contribution to journalConference articlepeer-review

    27 Citations (Scopus)

    Abstract

    We introduce a novel system setup where a backscatter device operates in the presence of an intelligent reflecting surface (IRS). In particular, we study the bistatic backscatter communication (BackCom) system assisted by an IRS. The phase shifts at the IRS are optimized jointly with the transmit beamforming vector of the carrier emitter to minimize the transmit power consumption at the carrier emitter whilst guaranteeing a required BackCom performance. The unique channel characteristics arising from multiple reflections at the IRS render the optimization problem highly non-convex. Therefore, we jointly utilize the minorization-maximization algorithm and the semidefinite relaxation technique to present an approximate solution for the optimal IRS phase shift design. We also extend our analytical results to the monostatic BackCom system. Numerical results indicate that the introduction of the IRS brings about considerable reductions in transmit power, even with moderate IRS sizes, which can be translated to range increases over the non-IRS-assisted BackCom system.

    Original languageEnglish
    Article number9348003
    JournalProceedings - IEEE Global Communications Conference, GLOBECOM
    Volume2020-January
    DOIs
    Publication statusPublished - Dec 2020
    Event2020 IEEE Global Communications Conference, GLOBECOM 2020 - Virtual, Taipei, Taiwan
    Duration: 7 Dec 202011 Dec 2020

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