Reducing Channel Estimation and Feedback Overhead in IRS-Aided Downlink System: A Quantize-Then-Estimate Approach

Channel state information (CSI) acquisition is essential for the base station (BS) to fully reap the beamforming gain in intelligent reflecting surface (IRS)-aided downlink communication systems. Recently, Wang et al. (2020) revealed a strong correlation in different users' cascaded channels st...

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Vydáno v:IEEE transactions on wireless communications Ročník 24; číslo 2; s. 1325 - 1338
Hlavní autoři: Wang, Rui, Wang, Zhaorui, Liu, Liang, Zhang, Shuowen, Jin, Shi
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.02.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Beamforming
Channel estimation
channel feedback
Channels
Communication
Communications systems
Correlation
distributed source coding
Downlink
Downlinking
Feedback
Feedback control systems
Feeds
Frequency division duplexing
Information systems
Intelligent reflecting surface (IRS)
Protocols
Quantization (signal)
Reconfigurable intelligent surfaces
Transmitting antennas
Uplink
Uplinking
Vectors
Wireless communication
ISSN:1536-1276, 1558-2248
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Shrnutí:Channel state information (CSI) acquisition is essential for the base station (BS) to fully reap the beamforming gain in intelligent reflecting surface (IRS)-aided downlink communication systems. Recently, Wang et al. (2020) revealed a strong correlation in different users' cascaded channels stemming from their common BS-IRS channel component, and leveraged such a correlation to significantly reduce the pilot transmission overhead in IRS-aided uplink communication. In this paper, we aim to exploit the above channel property to reduce the overhead for both pilot and feedback transmission in IRS-aided downlink communication. Note that in the downlink, the distributed users merely receive the pilot signals containing their own CSI and cannot leverage the correlation in different users' channels, which is in sharp contrast to the uplink counterpart considered in Wang et al. (2020). To tackle this challenge, this paper proposes a novel "quantize-then-estimate" protocol in frequency division duplex (FDD) IRS-aided downlink communication. Specifically, the users quantize and feed back their received pilot signals, instead of the estimated channels, to the BS. After de-quantizing the pilot signals received by all the users, the BS estimates all the cascaded channels by leveraging their correlation, similar to the uplink scenario. Under this protocol, we manage to propose efficient user-side quantization and BS-side channel estimation methods. Moreover, we analytically quantify the pilot and feedback transmission overhead to reveal the significant performance gain of our proposed scheme over the conventional "estimate-then-quantize" scheme.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2024.3508699