Efficient MU-MIMO Beamforming Protocol for IEEE 802.11ay WLANs

Munsuk Kim, Tanguy Ropitault, Su Kyoung Lee, Nada Golmie

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

IEEE 802.11ay supports multi-user multiple-input-multiple-output (MU-MIMO). However, the MU-MIMO beamforming training (BFT) is a time-consuming process for finding appropriate directional antenna patterns, and inefficient BFT results in a long training time. Thus, in this letter, we propose an algorithm that configures the transmit antenna with the aim of reducing the number of redundant transmissions during MU-MIMO BFT. Both analytic and simulation results show that our proposed algorithm can significantly reduce the training time.

Original languageEnglish
Article number8522039
Pages (from-to)144-147
Number of pages4
JournalIEEE Communications Letters
Volume23
Issue number1
DOIs
Publication statusPublished - 2019 Jan

Bibliographical note

Funding Information:
Manuscript received October 10, 2018; accepted October 24, 2018. Date of publication November 5, 2018; date of current version January 8, 2019. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2017R1A2B4002000). The associate editor coordinating the review of this paper and approving it for publication was C. Zhong. (Corresponding author: SuKyoung Lee).

Publisher Copyright:
© 2019 IEEE.

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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