Performance of Quantized Massive MIMO With Fronthaul Rate Constraint Over Quasi-Static Channels

We provide a rigorous framework for characterizing and numerically evaluating the error probability achievable in uplink downlink of fully digital quantized multiuser multiple-input multiple-output (MIMO) system. assume that system operates over quasi-static channel does not change across finite-length transmitted codewords, only imperfect state information (CSI) is available at base station (BS) user equipments. The need novel developed this paper stems from fact that, scenario, commonly used signal-to-interference-and-distortion-ratio expressions depend on variance estimation are relatable to any information-theoretic achievable-rate bound. use our investigate how performance massive MIMO subject fronthaul rate constraint, which imposes limit number samples per second produced by analog-to-digital digital-to-analog converters (ADCs DACs), depends BS antennas precision ADCs DACs. In particular, we characterize, given trade-off between resolution data converters, discuss influenced accuracy CSI. Our captures explicitly cost, terms spectral efficiency, pilot transmission—an overhead outage capacity, classic asymptotic metric cannot capture. present extensive numerical results validate proposed allow us optimal as function power