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When a quantizer input signal is the sum of the desired signal and inputwhite noise, the quantization error is a function of total input signal. Ournew equivalent model splits the quantization error into two components: anon-linear distortion (NLD) that is a function of only the desired part ofinput signal (without noise), and an equivalent out-put white noise. Thisseparation is important because these two terms affect MIMO system performancedifferently. This paper introduces our model, and applies it to determine theminimal Analog-to-Digital Converter (ADC) resolution necessary to operate aconventional MIMO receiver with negligible performance degradation. We alsoprovide numerical simulations to confirm the theory. Broad ramifications of ourmodel are further demonstrated in two companion papers presentinglow-complexity suppression of the NLD arising from insufficient ADC resolution,and a digital dithering that significantly reduces the MIMO transmitterDigital-to-Analog Converters (DAC) resolution requirement.

New equivalent model of quantizer with noisy input and its application for ADC resolution determination in an uplink MIMO receiver