Compressed channel feedback for correlated massive MIMO systems

Yeon Geun Lim; Chan Byoung Chae

doi:10.1109/ICCW.2014.6881223

Compressed channel feedback for correlated massive MIMO systems

Yeon Geun Lim, Chan Byoung Chae

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

21 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 language	English
Title of host publication	2014 IEEE International Conference on Communications Workshops, ICC 2014
Publisher	IEEE Computer Society
Pages	360-364
Number of pages	5
ISBN (Print)	9781479946402
DOIs	https://doi.org/10.1109/ICCW.2014.6881223
Publication status	Published - 2014
Event	2014 IEEE International Conference on Communications Workshops, ICC 2014 - Sydney, NSW, Australia Duration: 2014 Jun 10 → 2014 Jun 14

Publication series

Name	2014 IEEE International Conference on Communications Workshops, ICC 2014

Other

Other	2014 IEEE International Conference on Communications Workshops, ICC 2014
Country/Territory	Australia
City	Sydney, NSW
Period	14/6/10 → 14/6/14

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.1109/ICCW.2014.6881223

Cite this

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title = "Compressed channel feedback for correlated massive MIMO systems",

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.",

author = "Lim, {Yeon Geun} and Chae, {Chan Byoung}",

year = "2014",

doi = "10.1109/ICCW.2014.6881223",

language = "English",

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series = "2014 IEEE International Conference on Communications Workshops, ICC 2014",

publisher = "IEEE Computer Society",

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address = "United States",

note = "2014 IEEE International Conference on Communications Workshops, ICC 2014 ; Conference date: 10-06-2014 Through 14-06-2014",

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Lim, YG & Chae, CB 2014, Compressed channel feedback for correlated massive MIMO systems. in 2014 IEEE International Conference on Communications Workshops, ICC 2014., 6881223, 2014 IEEE International Conference on Communications Workshops, ICC 2014, IEEE Computer Society, pp. 360-364, 2014 IEEE International Conference on Communications Workshops, ICC 2014, Sydney, NSW, Australia, 14/6/10. https://doi.org/10.1109/ICCW.2014.6881223

Compressed channel feedback for correlated massive MIMO systems. / Lim, Yeon Geun; Chae, Chan Byoung.

2014 IEEE International Conference on Communications Workshops, ICC 2014. IEEE Computer Society, 2014. p. 360-364 6881223 (2014 IEEE International Conference on Communications Workshops, ICC 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Compressed channel feedback for correlated massive MIMO systems

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