Beam Training Optimization by Exploiting Sensing Information at MAC Layer

This paper introduces the concept of optimizing beam training at the medium access control (MAC) layer by employing passive sensing. The environment information can be extracted from the channel state information (CSI) when data frames are received. The delay and angle of arrival (AoA) parameters are estimated assuming an orthogonal frequency-division multiple (OFDM) system operating in the 60 GHz band. A method for enhancing the communication performance on the MAC layer by using sensing information from multiple wireless transceivers is proposed.