Position-Aided Compressive Channel Tracking for Wideband Millimeter Wave Multi-User Communication

A major challenge in millimeter wave (mmWave) communications is to configure the antenna arrays in the transceivers. The mobility of the users in mmWave cellular networks makes it necessary to periodically reconfigure the precoders and combiners, according to the variations of the channel. In this paper, we propose a new strategy to track the channel variations in a multi-user (MU) hybrid mmWave MIMO communication cellular network. Besides exploiting the sparse nature of the mmWave channel, this approach also leverages statistical knowledge of the channel parameters, which enables further overhead reductions. Simulation results show that using the proposed algorithm, it is possible to maintain an effective high data rate even in high mobility scenarios.