2017/12/05 by Jin-Seok Choi, Junmo Sung, Choi, Jinseok +5
Engineering · #Advanced Power Amplifier Design #FOS: Computer and information sciences #Information Theory (cs.IT) #Microwave Engineering and Waveguides #Millimeter-Wave Propagation and Modeling
paper · pdf · doi:10.48550/arxiv.1712.02018
openalex publication_date 2017/12/05 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28
A spectrum- and energy-efficient system is essential for millimeter wave\ncommunication systems that require large antenna arrays with power-demanding\nADCs. We propose an ADC bit allocation (BA) algorithm that solves a minimum\nmean squared quantization error problem under a power constraint. Unlike\nexisting BA methods that only consider an ADC power constraint, the proposed\nalgorithm regards total receiver power constraint for a hybrid analog-digital\nbeamforming architecture. The major challenge is the non-linearities in the\nminimization problem. To address this issue, we first convert the problem into\na convex optimization problem through real number relaxation and substitution\nof ADC resolution switching power with constant average switching power. Then,\nwe derive a closed-form solution by fixing the number of activated radio\nfrequency (RF) chains M. Leveraging the solution, the binary search finds the\noptimal M and its corresponding optimal solution. We also provide an off-line\ntraining and modeling approach to estimate the average switching power.\nSimulation results validate the spectral and energy efficiency of the proposed\nalgorithm. In particular, existing state-of-the-art digital beamformers can be\nused in the system in conjunction with the BA algorithm as it makes the\nquantization error negligible in the low-resolution regime.\n