Wideband Coverage Enhancement for IRS-Aided Wireless Networks Based on Power Measurement
Ge Yan, Lipeng Zhu, He Sun, Rui Zhang

TL;DR
This paper introduces a power-measurement-based method to enhance wideband coverage in IRS-aided wireless networks, reducing the need for frequent channel reconfiguration and improving average channel gain.
Contribution
It proposes a novel approach to estimate channel autocorrelation matrices using power measurements, enabling coverage enhancement without extensive channel estimation overhead.
Findings
Improved average coverage performance demonstrated through simulations.
Effective channel autocorrelation estimation using power measurements.
Reduced IRS reconfiguration frequency while maintaining coverage quality.
Abstract
By applying tunable phase shifts to incident waves via passive signal reflection, intelligent reflecting surface (IRS) can offer significant performance improvement for wireless communication systems. To reap such performance gain, channel knowledge for IRS-cascaded links is generally required, which is practically challenging to acquire due to their high-dimensional and time-varying characteristics. Conventional pilot-based channel estimation incurs excessive overhead due to the large number of reflecting elements, thus undermining the IRS efficiency, especially for wideband systems with frequency-selective fading channels. To tackle this issue, we propose in this letter a power-measurement-based channel autocorrelation matrix estimation and coverage enhancement approach for IRS-aided orthogonal frequency division multiplexing (OFDM) systems. Specifically, by estimating equivalent…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Advanced Antenna and Metasurface Technologies · Underwater Vehicles and Communication Systems
