A Compressive Sensing Based Channel Prediction Scheme with Uneven Pilot Design in Mobile Massive MIMO Systems

Yi Shi, Zhiyuan Jiang, Yan Liu, Ying Wang, Shugong Xu

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

7 Citations (Scopus)

Abstract

Massive Multiple Input Multiple Output (MIMO) is a widely used technique that can provide tremendous gain in spectral efficiency. However, the degradation of beamforming performance due to outdated Channel State Information at the Transmitter side (CSIT) induced by mobility of users, both in Time Division Duplex (TDD) and Frequency Division Duplex (FDD) modes, has been a severe problem awaiting to be solved. Many channel prediction schemes have been proposed to address this problem. Most of them focus on the prediction of future CSI on pilot symbols, then reconstruct the non-pilot symbols through conventional interpolation methods. However, the CSI cannot be simply reconstructed through interpolation in high mobility scenario because of the limitation of even pilot design - the phenomenon is named as 'Doppler aliasing' in this paper. To address this, we propose a novel uneven pilot pattern that can provide more Doppler spectrum resolution compared with even pilot which is currently used in most of communication systems. Based on the novel pilot setting, we then propose a channel prediction scheme based on the compressive sensing technique. Numerical results show our scheme can outperform the state-of-the-art algorithms, including deep neural networks and autoregression models, for about 15 percents in terms of average throughput in simulated channel generated by the COST2100 channel model.

Original languageEnglish
Title of host publication13th International Conference on Wireless Communications and Signal Processing, WCSP 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665407854
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event13th International Conference on Wireless Communications and Signal Processing, WCSP 2021 - Virtual, Online, China
Duration: 20 Oct 202122 Oct 2021

Publication series

Name13th International Conference on Wireless Communications and Signal Processing, WCSP 2021

Conference

Conference13th International Conference on Wireless Communications and Signal Processing, WCSP 2021
Country/TerritoryChina
CityVirtual, Online
Period20/10/2122/10/21

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