Limited channel feedback for RF lens antenna based massive MIMO systems

Taehoon Kwon, Yeon Geun Lim, Chan Byoung Chae

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

5 Citations (Scopus)

Abstract

In this paper, we propose a radio frequency (RF) lens-embedded massive multiple-input multiple-output (MIMO) system. To analyze the characteristics of RF lens antennas, we first introduce the beam propagation method (BPM) and use it to construct a new channel model. We next design a low complexity codebook reflecting the characteristics of the RF lens antennas for limited feedback. Numerical results confirm that, compared to conventional approaches such as random vector quantization (RVQ), the proposed system shows significant performance enhancements in terms of the achievable rate and computational complexity.

Original languageEnglish
Title of host publication2015 International Conference on Computing, Networking and Communications, ICNC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6-10
Number of pages5
ISBN (Electronic)9781479969593
DOIs
Publication statusPublished - 2015 Mar 26
Event2015 International Conference on Computing, Networking and Communications, ICNC 2015 - Garden Grove, United States
Duration: 2015 Feb 162015 Feb 19

Publication series

Name2015 International Conference on Computing, Networking and Communications, ICNC 2015

Other

Other2015 International Conference on Computing, Networking and Communications, ICNC 2015
CountryUnited States
CityGarden Grove
Period15/2/1615/2/19

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Kwon, T., Lim, Y. G., & Chae, C. B. (2015). Limited channel feedback for RF lens antenna based massive MIMO systems. In 2015 International Conference on Computing, Networking and Communications, ICNC 2015 (pp. 6-10). [7069285] (2015 International Conference on Computing, Networking and Communications, ICNC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCNC.2015.7069285