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.Index Terms-Interference and noise mitigation, limited-rate feedforward and feedback, multiuser multiple-input multiple-output (MU-MIMO) system, perturbation codebook.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.