Compressed channel feedback for correlated massive MIMO systems

Yeon Geun Lim, Chan Byoung Chae

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

20 Citations (Scopus)

Abstract

In this paper, we propose compressive sensing-based channel quantization feedback that is appropriate for practical massive multiple-input multiple-output (MIMO) systems. We assume that the base station (BS) has a compact (2-dimensional) uniform square array that has a highly correlated channel. To serve multiple users, the BS uses a zero-forcing precoder. Our proposed channel feedback algorithm can reduce feedback overhead as well as a codebook search complexity. Numerical simulations confirm our analytical results.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Communications Workshops, ICC 2014
PublisherIEEE Computer Society
Pages360-364
Number of pages5
ISBN (Print)9781479946402
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 IEEE International Conference on Communications Workshops, ICC 2014 - Sydney, NSW, Australia
Duration: 2014 Jun 102014 Jun 14

Publication series

Name2014 IEEE International Conference on Communications Workshops, ICC 2014

Other

Other2014 IEEE International Conference on Communications Workshops, ICC 2014
CountryAustralia
CitySydney, NSW
Period14/6/1014/6/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • Cite this

    Lim, Y. G., & Chae, C. B. (2014). Compressed channel feedback for correlated massive MIMO systems. In 2014 IEEE International Conference on Communications Workshops, ICC 2014 (pp. 360-364). [6881223] (2014 IEEE International Conference on Communications Workshops, ICC 2014). IEEE Computer Society. https://doi.org/10.1109/ICCW.2014.6881223