One-bit digital-to-analog converter (DAC) has been a promising potential for both cost- and power-efficient massive multiple-input multiple-output (MIMO) implementation. We investigate the performance of a downlink massive MIMO with the 1-bit DAC using regularized zero-forcing (RZF) precoding serving quantized receivers. By taking the quantization errors at both transmitter and receivers, regularization parameter for the RZF is optimized with closed-form solution by applying asymptotic random matrix theory. The optimal parameter is discovered as linearly increasing w.r.t. the user loading ratio. Furthermore, asymptotic sum rate performance is derived and a closed-form expression of the optimal user loading ratio is achieved specifically for low SNR. The optimal user loading is found decreasing with increasing receiver quantization resolutions. Numerical simulations verify our observations.
User Loading in Downlink Multiuser Massive MIMO with 1-Bit DAC and Quantized Receiver
01.09.2017
185138 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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