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Distributed IRS with Statistical Passive Beamforming for MISO Communications

2020/09/14 by Yuwei Gao, Gao, Yuwei, Jindan Xu +8
Computer Science · Engineering · Mathematics · #Advanced Wireless Communication Technologies #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #Information Theory (cs.IT) #Underwater Vehicles and Communication Systems #cs.IT #math.IT

paper · pdf · doi:10.48550/arxiv.2009.06286

12 pages, 3 figures

arxiv created 2020/09/14 · openalex publication_date 2020/09/14 · arxiv updated 2020/09/15 · openalex created_date 2020/09/21 · openalex updated_date 2026/07/28

Abstract

Intelligent reflecting surface (IRS) has recently been identified as a prominent technology with the ability of enhancing wireless communication by dynamically manipulating the propagation environment. This paper investigates a multiple-input single-output (MISO) system deploying distributed IRSs. For practical considerations, we propose an efficient design of passive reflecting beamforming for the IRSs to exploit statistical channel state information (CSI) and analyze the achievable rate of the network taking into account the impact of CSI estimation error. The ergodic achievable rate is derived in a closed form, which provides insightful system design guidelines. Numerical results confirm the accuracy of the derived results and unveil the performance superiority of the proposed distributed IRS deployment over the conventional centralized deployment.

Citations

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