Coordinating Multiple Intelligent Reflecting Surfaces without Channel Information
Fan Xu, Jiawei Yao, Wenhai Lai, Kaiming Shen, Xin Li, Xin Chen,, Zhi-Quan Luo

TL;DR
This paper introduces a blind beamforming strategy for coordinating multiple intelligent reflecting surfaces (IRSs) without requiring channel state information, significantly reducing complexity and verified through field tests showing up to 17 dB SNR improvement.
Contribution
It proposes a novel CSI-free beamforming method for multiple IRSs that guarantees substantial SNR boosts and is validated by real-world experiments.
Findings
Achieves up to 17 dB SNR boost in field tests.
Guarantees a Theta(N^{2L}) SNR boost under certain conditions.
Conditions for optimal SNR boost are easier to satisfy than existing methods.
Abstract
Conventional beamforming methods for intelligent reflecting surfaces (IRSs) or reconfigurable intelligent surfaces (RISs) typically entail the full channel state information (CSI). However, the computational cost of channel acquisition soars exponentially with the number of IRSs. To bypass this difficulty, we propose a novel strategy called blind beamforming that coordinates multiple IRSs by means of statistics without knowing CSI. Blind beamforming only requires measuring the received signal power at the user terminal for a sequence of randomly generated phase shifts across all IRSs. The main idea is to extract the key statistical quantity for beamforming by exploring only a small portion of the whole solution space of phase shifts. We show that blind beamforming guarantees a signal-to-noise ratio (SNR) boost of Theta(N^{2L}) under certain conditions, where L is the number of IRSs and…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Underwater Vehicles and Communication Systems · Indoor and Outdoor Localization Technologies
