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In this contribution, we investigate a coarsely quantized Multi-User(MU)-Multiple Input Single Output (MISO) downlink communication system, wherewe assume 1-Bit Digital-to-Analog Converters (DACs) at the Base Station (BS)antennas. First, we analyze the achievable sum rate lower-bound using theBussgang decomposition. In the presence of the non-linear quanization, ouranalysis indicates the potential merit of reconsidering traditional signalprocessing techniques in coarsely quantized systems, i.e., reconsideringtransmit covariance matrices whose rank is equal to the rank of the channel.Furthermore, in the second part of this paper, we propose a linear precoderdesign which achieves the predicted increase in performance compared with astate of the art linear precoder design. Moreover, our linear signal processingalgorithm allows for higher-order modulation schemes to be employed.

Reconsidering Linear Transmit Signal Processing in 1-Bit Quantized Multi-User MISO Systems