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Efficient MU-MIMO Beamforming Protocol for IEEE 802.11ay WLANs.
Munsuk Kim1, Tanguy Ropitault1, SuKyoung Lee2
1National Institute of Standards and Technology, Gaithersburg, MD 20899 USA.
IEEE Communications Letters : a Publication of the IEEE Communications Society
|July 6, 2019
Summary
This study introduces an efficient algorithm to reduce the lengthy beam-forming training (BFT) time in IEEE 802.11ay multi-user, multiple-input, multiple-output (MU-MIMO) systems. The proposed method optimizes antenna configurations, significantly cutting down training duration.
Area of Science:
- Wireless communication technologies
- Antenna array signal processing
Background:
- IEEE 802.11ay standard enables multi-user, multiple-input, multiple-output (MU-MIMO) communication.
- The beam-forming training (BFT) process in MU-MIMO is critical but often time-consuming due to the need for optimal directional antenna patterns.
Purpose of the Study:
- To propose an algorithm that reduces the training time for MU-MIMO beam-forming in IEEE 802.11ay systems.
- To minimize redundant transmissions during the MU-MIMO BFT phase.
Main Methods:
- Development of a novel algorithm for configuring transmit antennas.
- Analytic modeling and simulation to evaluate algorithm performance.
Main Results:
- The proposed algorithm significantly reduces the number of redundant transmissions during MU-MIMO BFT.
- Demonstrated substantial decrease in overall training time compared to existing methods.
Conclusions:
- The developed algorithm offers an efficient solution for accelerating MU-MIMO BFT in IEEE 802.11ay.
- Optimizing antenna configuration is key to improving the efficiency of wireless communication training processes.
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