Feedforward Frameworks to Enhance Decoding in Precoded Multiuser MIMO Systems

It is difficult for users in multiuser multiple-input multiple-output (MU-MIMO) systems to obtain co-channel interference (CCI) statistics without user cooperation. We propose a technique through which each user can effectively obtain the statistics of the interference that it experiences in a precoded MU-MIMO system. This allows true maximum-likelihood detection to be performed in place of minimum-distance detection. Also, we propose a low-complexity perturbation codebook decoder that attempts to mitigate the effects of both CCI and AWGN. The effectiveness of this decoder in reaching near-optimal performance is shown through Monte Carlo simulations.