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Optimal pilot power based channel estimation improves the throughput of intelligent reflective surface assisted systems

Optimal pilot power based channel estimation improves the throughput of intelligent reflective surface assisted systems
Optimal pilot power based channel estimation improves the throughput of intelligent reflective surface assisted systems
Intelligent reflecting surfaces (IRS) have emerged as a promising technology of managing the radio signal propagation by relying on a large number of low-cost passive reflecting elements. In this letter, the optimal pilot power allocation required for accurate channel estimation of IRS-assisted communication systems is investigated. In contrast to conventional channel estimators, where pilot signals are usually designed to be constant-enveloped, we reconsider the pilot design to improve the passive beamforming performance thus resulting in an improved achievable rate. At first sight the result of our analysis appears counter-intuitive, suggesting that at a given total power, more power should be allocated to estimate low-gain channels, since the channel phase impairments are more severe than those of highgain channels. Our simulation results show that when the number of IRS elements is 4, the rate improvement of our proposed channel estimation scheme over the conventional counterpart may be as high as 25%.
0018-9545
An, Jiancheng
38f5bae7-e6d1-4767-8e81-b402ac61943f
Wang, Li
cee5932f-1921-4acd-a835-404eb0a5853d
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Gan, Lu
0a6bc3c0-b9b0-4125-ad4d-e065fdd98213
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
An, Jiancheng
38f5bae7-e6d1-4767-8e81-b402ac61943f
Wang, Li
cee5932f-1921-4acd-a835-404eb0a5853d
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Gan, Lu
0a6bc3c0-b9b0-4125-ad4d-e065fdd98213
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

An, Jiancheng, Wang, Li, Xu, Chao, Gan, Lu and Hanzo, Lajos (2020) Optimal pilot power based channel estimation improves the throughput of intelligent reflective surface assisted systems. IEEE Transactions on Vehicular Technology. (doi:10.1109/TVT.2020.3034478). (In Press)

Record type: Article

Abstract

Intelligent reflecting surfaces (IRS) have emerged as a promising technology of managing the radio signal propagation by relying on a large number of low-cost passive reflecting elements. In this letter, the optimal pilot power allocation required for accurate channel estimation of IRS-assisted communication systems is investigated. In contrast to conventional channel estimators, where pilot signals are usually designed to be constant-enveloped, we reconsider the pilot design to improve the passive beamforming performance thus resulting in an improved achievable rate. At first sight the result of our analysis appears counter-intuitive, suggesting that at a given total power, more power should be allocated to estimate low-gain channels, since the channel phase impairments are more severe than those of highgain channels. Our simulation results show that when the number of IRS elements is 4, the rate improvement of our proposed channel estimation scheme over the conventional counterpart may be as high as 25%.

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Accepted/In Press date: 26 October 2020

Identifiers

Local EPrints ID: 444894
URI: http://eprints.soton.ac.uk/id/eprint/444894
ISSN: 0018-9545
PURE UUID: f5886e30-4c91-40ea-aab3-9b40da137258
ORCID for Chao Xu: ORCID iD orcid.org/0000-0002-8423-0342
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 10 Nov 2020 17:31
Last modified: 28 Apr 2022 02:04

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Contributors

Author: Jiancheng An
Author: Li Wang
Author: Chao Xu ORCID iD
Author: Lu Gan
Author: Lajos Hanzo ORCID iD

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