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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.