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This paper presents the development of a joint optimization of an automaticgain control (AGC) algorithm and a linear \textit{minimum mean square error}(MMSE) receiver for multi-user multiple input multiple output (MU-MIMO) systemswith coarsely quantized signals. The optimization of the AGC is based on theminimization of the \textit{mean square error} (MSE) and the proposed receivefilter takes into account the presence of the AGC and the effects due toquantization. Moreover, we provide a lower bound on the capacity of the MU-MIMOsystem by deriving an expression for the achievable rate. The performance ofthe proposed Low-Resolution Aware MMSE (LRA-MMSE) receiver and AGC algorithm isevaluated by simulations, and compared with the conventional MMSE receivefilter and Zero-Forcing (ZF) receiver using quantization resolution of 2, 3, 4and 5 bits.

Study of Joint Automatic Gain Control and MMSE Receiver Design Techniques for Quantized Multiuser Multiple-Antenna Systems