Study of Coarse Quantization-Aware Block Diagonalization Algorithms for MIMO Systems with Low Resolution

S. B. Pinto; R. C. de Lamare

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arXiv · 2002.10916

Study of Coarse Quantization-Aware Block Diagonalization Algorithms for MIMO Systems with Low Resolution

S. B. Pinto·R. C. de Lamare

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Abstract

It is known that the estimated energy consumption of digital-to analog converters (DACs) is around 30\% of the energy consumed by analog-to-digital converters (ADCs) keeping fixed the sampling rate and bit resolution. Assuming that similarly to ADC, DAC dissipation doubles with every extra bit of resolution, a decrease in two resolution bits, for instance from 4 to 2 bits, represents a 75$\% $ lower dissipation. The current limitations in sum-rates of 1-bit quantization have motivated researchers to consider extra bits in resolution to obtain higher levels of sum-rates. Following this, we devise coarse quantization-aware precoding using few bits for the broadcast channel of multiple-antenna systems based on the Bussgang theorem. In particular, we consider block diagonalization algorithms, which have not been considered in the literature so far. The sum-rates achieved by the proposed Coarse Quantization-Aware Block Diagonalization (CQA-BD) and its regularized version (CQA-RBD) are superior to those previously reported in the literature. Simulations illustrate the performance of the proposed CQA-BD and CGA-RBD algorithms against existing approaches.

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BibTeX RIS

S. B. Pinto, R. C. de Lamare. 2020-02-23. Study of Coarse Quantization-Aware Block Diagonalization Algorithms for MIMO Systems with Low Resolution. https://arxiv.org/abs/2002.10916

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