In this paper, we consider the channel estimation
problem in Millimeter wave (mmWave) wireless systems with
large antenna arrays. By exploiting the inherent sparse nature of
the mmWave channel, we develop a novel rate-adaptive channel
estimation (RACE) algorithm, which can adaptively adjust the
number of required channel measurements based on an expected
probability of estimation error (PEE).
