Information theoretic comparison of MIMO wireless communication receivers in the presence of interference

Multiple-input multiple-output (MIMO) wireless communication provides a number of potential advantages over traditional single-input single-output (SISO) approaches, including increased data rates for a given total transmit power and improved robustness to interference. In this paper, the details of a variety of receivers are incorporated into the effects of the channel so that information-theoretic performance bounds can be exploited to evaluate receiver approaches. Two classes of environments are considered: first, channel complexity, characterized by the distribution of the narrowband channel-matrix singular values and second, external interference. Receiver approaches discussed in this paper include minimum-mean-squared error, minimum-interference, as well as an iterative receiver that incorporates estimation subtraction, denoted here as multichannel multiuser detection (MCMUD). Various assumptions are made about the limitations on channel and interference estimation. Receiver performance implications are also demonstrated using experimental data.