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In this work, we propose the joint optimization of the automatic gain control(AGC), which works in the remote radio heads (RHHs), and a low-resolution aware(LRA) linear receive filter based on the minimum mean square error (MMSE),which works on the baseband unit (BBU) pool, for large-scale multi-usermultiple-input multiple-output (MU-MIMO) systems with coarsely quantizedsignals in cloud radio access networks. We develop successive interferencecancellation receivers based on the proposed joint AGC and LRA-MMSE(AGC-LRA-MMSE) approach. An analysis of the achievable sum rates is alsocarried out. Simulations show that the proposed design has better error ratesand higher achievable rates than existing techniques.

Joint AGC and Receiver Design for Large-Scale MU-MIMO Systems with Coarsely Quantized Signals and C-RANs