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Beam training of 802.11 ad is a technology that helps accelerate the analogweighting vector (AWV) selection process under the constraint of the existingcode-book for AWV. However, 5G milli-meter wave (mmWave)multiple-input-multiple-output (MIMO) system brings challenges to this newtechnology due to the higher order of complexity of antennae. Hence, theexisting codebook of 11ad is unlikely to even include the near-optimal AWV andthe data rate will degrade severely. To cope with this situation, this paperproposed a new beam training protocol combined with the state-of-the-artcompressed sensing channel estimation in order to find the AWV to maximize theoptimal data-rate. Simulation is implemented to show the data-rate of AWVachieved by 11 ad is worse than the proposed protocol.

Optimal Beam Training for mmWave Massive MIMO using 802.11ay