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Millimeter wave is a promising technology for the next generation of wirelesssystems. As it is well-known for its high path loss, the systems working inthis spectrum tend to exploit the shorter wavelength to equip the transceiverswith a large number of antennas to overcome the path loss issue. The largenumber of antennas leads to large channel matrices and consequently achallenging channel estimation problem. The channel estimation algorithms thathave been proposed so far either neglect the probability of estimation error orrequire a high feedback overload from receivers to ensure the targetprobability of estimation error. In this paper, we propose a multi-stageadaptive channel estimation algorithm called robust adaptive multi-feedback(RAF). The algorithm is based on using the estimated channel coefficient topredict a lower bound for the required number of measurements. Our simulationsdemonstrate that compared with existing algorithms, RAF can achieve the desiredprobability of estimation error while on average reducing the feedback overheadby 75.5% and the total channel estimation time by 14%.

RAF: Robust Adaptive Multi-Feedback Channel Estimation for Millimeter Wave MIMO Systems