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Intelligent Reflecting Surface-Enhanced OFDM: Channel Estimation and Reflection Optimization

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Zheng, Beixiong, Zhang, Rui·2020·IEEE Wireless Communications Letters

Abstract

In the intelligent reflecting surface (IRS)-enhanced wireless communication system, channel state information (CSI) is of paramount importance for achieving the passive beamforming gain of IRS, which, however, is a practically challenging task due to its massive number of passive elements without transmitting/receiving capabilities. In this letter, we propose a practical transmission protocol to execute channel estimation and reflection optimization successively for an IRS-enhanced orthogonal frequency division multiplexing (OFDM) system. Under the unit-modulus constraint, a novel reflection pattern at the IRS is designed to aid the channel estimation at the access point (AP) based on the received pilot signals from the user, for which the channel estimation error is derived in closed-form. With the estimated CSI, the reflection coefficients are then optimized by a low-complexity algorithm based on the resolved strongest signal path in the time domain. Simulation results corroborate the effectiveness of the proposed channel estimation and reflection optimization methods.

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Metadata

Authors
Zheng, B., & Zhang, R.
Venue
IEEE Wireless Communications Letters
Published
2020-04
Volume
9
Issue
4
Pages
518-522
ISSN
  • 2162-2337 (ISSN-L)
  • 2162-2345
OpenAlex
W2971912794
Cited by
876
References
0
FWCI
34.89
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Intelligent Reflecting Surface-Enhanced OFDM: Channel Estimation and Reflection Optimization. https://app.cochat.ai/papers/10.1109/lwc.2019.2961357
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Zheng, B., & Zhang, R. (2020). Intelligent Reflecting Surface-Enhanced OFDM: Channel Estimation and Reflection Optimization. IEEE Wireless Communications Letters. https://doi.org/10.1109/lwc.2019.2961357

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