Generative Adversarial Estimation of Channel Covariance in Vehicular Millimeter Wave Systems

Understand

Enabling highly-mobile millimeter wave (mmWave) systems is challenging because of the huge training overhead associated with acquiring the channel knowledge or designing the narrow beams.

• Current mmWave beam training and channel estimation techniques do not normally make use of the prior beam training or channel estimation observations.
• Intuitively, though, the channel matrices are functions of the various elements of the environment.
• Learning these functions can dramatically reduce the training overhead needed to obtain the channel knowledge.