Efficient beamforming scheme in distributed massive MIMO system

Massive MIMO is a multi-user MIMO where the number of antennas and the number of scheduled users can be very large. Effective transmission strategies in such systems is of great importance as the complexity burden over the shoulder of the system can be too high to take due to the large dimensions of the system. In a distributed massive MIMO system, where antennas' links are capacity constrained, calculating the precoding vector and compression separately can be a waste of calculating hardwares. We propose a simple beamforming-compression scheme based on an iterative algorithm which can efficiently achieve the performance of the well-known linear precoders with much less complexity.