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In this paper, we propose a Singular-Value-Decomposition-basedvariable-resolution Analog to Digital Converter (ADC) bit allocation design fora single-user Millimeter wave massive Multiple-Input Multiple-Output receiver.We derive the optimality condition for bit allocation under a power constraint.This condition ensures optimal receiver performance in the Mean Squared Error(MSE) sense. We derive the MSE expression and show that it approaches theCramer-Rao Lower Bound (CRLB). The CRLB is seen to be a function of the analogcombiner, the digital combiner, and the bit allocation matrix. We attempt tominimize the CRLB with respect to the bit allocation matrix by making suitableassumptions regarding the structure of the combiners. In doing so, the bitallocation design reduces to a set of simple inequalities consisting of ADCbits, channel singular values and covariance of the quantization noise alongeach RF path. This results in a simple and computationally efficient bitallocation algorithm. Using simulations, we show that the MSE performance ofour proposed bit allocation is very close to that of the Full Search (FS) bitallocation. We also show that the computational complexity of our proposedmethod has an order of magnitude improvement compared to FS and GeneticAlgorithm based bit allocation of $\cite{Zakir1}$

Single-User mmWave Massive MIMO: SVD-based ADC Bit Allocation and Combiner Design