Fast optimization algorithm on complex oblique manifold for hybrid precoding in millimeter wave MIMO systems

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

2 Citations (Scopus)

Abstract

This paper considers a hybrid precoder design for millimeter wave systems. The conventional works suffer from performance loss in spectral efficiency, and also suffer from high complexities of optimization algorithms in terms of iteration as well as processing time. This paper proposes a new fast optimization algorithm that improves the calculation algorithm of the gradient and avoids the nested-loop architecture of the state-of-the-art algorithm, MO-AltMin. Exhaustive evaluations demonstrate that the proposed algorithm yields comparable or faster processing speed than the state-of-the-art algorithms while keeping spectral efficiency near-optimal.

Original languageEnglish
Title of host publication2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1266-1270
Number of pages5
ISBN (Electronic)9781728112954
DOIs
Publication statusPublished - 2019 Feb 20
Externally publishedYes
Event2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Anaheim, United States
Duration: 2018 Nov 262018 Nov 29

Publication series

Name2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings

Conference

Conference2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018
CountryUnited States
CityAnaheim
Period18/11/2618/11/29

Keywords

  • Complex oblique manifold
  • Hybrid precoding
  • Manifold optimization
  • Millimeter wave MIMO

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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  • Cite this

    Kasai, H. (2019). Fast optimization algorithm on complex oblique manifold for hybrid precoding in millimeter wave MIMO systems. In 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings (pp. 1266-1270). [8646553] (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2018.8646553