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Massive Multiple-input Multiple-output (MIMO) adaption is one of the primaryevolving objectives for the next generation high speed train (HST)communication system. In this paper, we consider how to design an efficientlow-complexity location-aware beamforming for the multi-user (MU) massive MIMOsystem in HST scenario. We first put forward a low-complexity beamforming basedon location information, where multiple users are considered. Then, withoutconsidering inter-beam interference, a closed-form solution to maximize thetotal service competence of base station (BS) is proposed in this MU HSTscenario. Finally, we present a location-aid searching-based suboptimalsolution to eliminate the inter-beam interference and maximize the BS servicecompetence. Various simulations are given to exhibit the advantages of ourproposed massive MIMO beamforming method.

Low-complexity Location-aware Multi-user Massive MIMO Beamforming for High Speed Train Communications