Efficient MU-MIMO Beamforming Protocol for IEEE 802.11ay WLANs

Munsuk Kim; Tanguy Ropitault; SuKyoung Lee; Nada Golmie

doi:10.1109/LCOMM.2018.2879476

Efficient MU-MIMO Beamforming Protocol for IEEE 802.11ay WLANs

IEEE Commun Lett. 2019:23:10.1109/LCOMM.2018.2879476. doi: 10.1109/LCOMM.2018.2879476.

Authors

Munsuk Kim¹, Tanguy Ropitault¹, SuKyoung Lee², Nada Golmie¹

Affiliations

¹ National Institute of Standards and Technology, Gaithersburg, MD 20899 USA.
² Department of Computer Science, Yonsei University, Seoul 03722, South Korea.

Abstract

IEEE 802.11ay supports multi-user multiple-input-multiple-output (MU-MIMO). However, the MU-MIMO beam-forming 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.

Keywords: 802.11ay; MU-MIMO; beamforming training.

Grants and funding

9999-NIST/Intramural NIST DOC/United States