Mobility-Aware Fast Beam Training Scheme for IEEE 802.11ad/ay Wireless Systems

Abstract

Millimeter wave (mmWave) technology provides multi-Gbps services thanks to huge spectrum usage. IEEE 802.11ad/ay standardizes the next generation wireless local area networks (WLANs) for high data rate transmissions at 60 GHz band. Directional beamforming (BF) transmissions overcome the difficulty of high signal attenuation. In addition, a beam sector based scheme for BF training is taken by 802.11ad/ay to tackle sophisticated indoor environments. However, conventional exhaustive beam search (EBS) takes much time and some literatures try to design to reduce training latency. Also, most of papers do not consider about the mobility effect of moving devices, which deteriorates the beam matching outcomes. With the consideration of beam matching accuracy and mobility effects corresponding to historically observed transmitted beams, we propose the mobility-aware fast beam training (MFBT) algorithm. Simulation results show how mobility affects the system in terms of latency and throughput. There are trade-offs when operating with different beamwidth and matching accuracy requirements. Moreover, our proposed algorithm achieves lower latency and higher throughput than other existing beam training schemes.