Low-complexity and Statistically Robust Beamformer Design for Massive MIMO Systems

Massive MIMO is a variant of multiuser MIMO in which the number of antennas at the base station (BS) M is very large and typically much larger than the number of served users (data streams) K. Recent research has illustrated the system-level advantages of such a system and in particular the beneficial effect of increasing the number of antennas M . These benefits, however, come at the cost of dramatic increase in hardware and computational complexity. This is partly due to the fact that the BS needs to compute suitable beamforming vectors in order to coherently transmit/receive data to/from each user, where the resulting complexity grows proportionally to the number of antennas M and the number of served users K. Recently, different algorithms based on tools from random matrix theory in the asymptotic regime of M,K → ∞ with