Compressive sensing-based channel estimation for massive multiuser MIMO systems

Sinh Le Hong Nguyen, Ali Ghrayeb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

106 Citations (Scopus)

Abstract

We propose a new approach based on compressive sensing (CS) for the channel matrix estimation problem for 'massive' (or large-scale) multiuser (MU) multiple-input multiple-output (MIMO) systems. The system model includes a base station (BS) equipped with a very large number of antennas communicating simultaneously with a large number of autonomous single-antenna user terminals (UTs), over a realistic physical channel with finite scattering model. Based on the idea that the degree of freedom of the channel matrix is smaller than its large number of free parameters, a low-rank matrix approximation based on CS is proposed and solved via a quadratic semidefine programming (SDP). Our analysis and experimental results suggest that the proposed method outperforms the existing ones in terms of estimation error performance or training transmit power, without requiring any knowledge about the statistical distribution or physical parameters of the propagation channel.

Original languageEnglish
Title of host publication2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
Pages2890-2895
Number of pages6
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE Wireless Communications and Networking Conference, WCNC 2013 - Shanghai, China
Duration: 7 Apr 201310 Apr 2013

Other

Other2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
CountryChina
CityShanghai
Period7/4/1310/4/13

Fingerprint

Channel estimation
Antennas
Quadratic programming
Base stations
Error analysis
Scattering

Keywords

  • Channel estimation
  • compressive sensing
  • low-rank matrix approximation
  • massive MU-MIMO

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Nguyen, S. L. H., & Ghrayeb, A. (2013). Compressive sensing-based channel estimation for massive multiuser MIMO systems. In 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013 (pp. 2890-2895). [6555020] https://doi.org/10.1109/WCNC.2013.6555020

Compressive sensing-based channel estimation for massive multiuser MIMO systems. / Nguyen, Sinh Le Hong; Ghrayeb, Ali.

2013 IEEE Wireless Communications and Networking Conference, WCNC 2013. 2013. p. 2890-2895 6555020.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nguyen, SLH & Ghrayeb, A 2013, Compressive sensing-based channel estimation for massive multiuser MIMO systems. in 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013., 6555020, pp. 2890-2895, 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013, Shanghai, China, 7/4/13. https://doi.org/10.1109/WCNC.2013.6555020
Nguyen SLH, Ghrayeb A. Compressive sensing-based channel estimation for massive multiuser MIMO systems. In 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013. 2013. p. 2890-2895. 6555020 https://doi.org/10.1109/WCNC.2013.6555020
Nguyen, Sinh Le Hong ; Ghrayeb, Ali. / Compressive sensing-based channel estimation for massive multiuser MIMO systems. 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013. 2013. pp. 2890-2895
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