On Assessing the Performance of IEEE 802.11ad Beamforming Training

In the race for Gigabit wireless links, IEEE introduced 802.11ad, an amendment aimed at delivering Gbps capacities in a WLAN setting by leveraging 60 GHz band. The key innovation of standard is its beamforming training protocol. Executed periodically beginning every beacon interval, it enables formation directional links. To address contention during uplink part training, 802.11ad A-BFT (Association BeamForming Training), Aloha-inspired, two-level backoff race. While central to functionality networks, performance A-BFT, however, remains poorly understood. this article, we propose analytical finite-population model evaluating under two channel models: loss-free, and introducing constant bit error rate. After using open-source simulator demonstrate accuracy, use our assess A-BFT. We find that counter-intuitive, quit-easily/be-lazy approach stations leads best overall performance.