Spectrum-efficiency parametric channel estimation scheme for massive MIMO systems

Zhen Gao, Chao Zhang, Chengran Dai, Qian Han

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

5 Citations (Scopus)

Abstract

This paper proposes a parametric channel estimation method for massive multiple input multiple output (MIMO) systems, whereby the spatial correlation of wireless channels is exploited. For outdoor communication scenarios, most wireless channels are sparse. Meanwhile, compared with the long signal transmission distance, scale of the transmit antenna array can be negligible. Therefore, channel impulse responses (CIRs) associated with different transmit antennas usually share the very similar path delays, since channels of different transmit-receive pairs share the very similar scatterers. By exploiting the spatial common sparsity of wireless MIMO channels, we propose a parametric channel estimation method, whereby the frequency-domain pilots can be reduced significantly. The proposed method can achieve super-resolution path delays, and improve the accuracy of the channel estimation considerably. More interestingly, simulation results indicate that the required average pilot number per transmit antenna even decreases when the number of transmit antennas increases in practice.

Original languageEnglish
Title of host publication2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2014
PublisherIEEE Computer Society
ISBN (Print)9781479916542
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2014 - Beijing, China
Duration: 25 Jun 201427 Jun 2014

Publication series

NameIEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB
ISSN (Print)2155-5044
ISSN (Electronic)2155-5052

Conference

Conference2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2014
Country/TerritoryChina
CityBeijing
Period25/06/1427/06/14

Keywords

  • Channel modelling and simulation
  • OFDM
  • massive MIMO system
  • multiple users (MU)
  • signal processing for transmission
  • sparse channel estimation

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