An Optimal Low-Complexity Energy-Efficient ADC Bit Allocation for Massive MIMO

被引:7
|
作者
Ahmed, I. Zakir [1 ]
Sadjadpour, Hamid R. [1 ]
Yousefi, Shahram [2 ]
机构
[1] Univ Calif Santa Cruz, Dept Elect & Comp Engn, Santa Cruz, CA 95064 USA
[2] Queens Univ, Dept Elect & Comp Engn, Kingston, ON K7L 3N6, Canada
来源
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING | 2021年 / 5卷 / 01期
关键词
Millimeter wave MIMO; energy efficiency; information rate; variable-resolution ADC; bit allocation; WIRELESS BACKHAUL; ARCHITECTURES; SYSTEMS; UPLINK;
D O I
10.1109/TGCN.2020.3039282
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Fixed low-resolution Analog to Digital Converters (ADC) help reduce the power consumption in millimeter-wave Massive Multiple-Input Multiple-Output (Ma-MIMO) receivers operating at large bandwidths. However, they do not guarantee optimal Energy Efficiency (EE). It has been shown that adopting variable-resolution (VR) ADCs in Ma-MIMO receivers can improve performance with Mean Squared Error (MSE) and throughput while providing better EE. In this article, we present an optimal energy-efficient bit allocation (BA) algorithm for Ma-MIMO receivers equipped with VR ADCs under a power constraint. We derive an expression for EE as a function of the Cramer-Rao Lower Bound on the MSE of the received, combined, and quantized signal. An optimal BA condition is derived by maximizing EE under a power constraint. We show that the optimal BA thus obtained is exactly the same as that obtained using the brute-force BA with a significant reduction in computational complexity. We also study the EE performance and computational complexity of a heuristic algorithm that yields a near-optimal solution.
引用
收藏
页码:61 / 71
页数:11
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