基于混合精度ADC量化的大规模MIMO系统能效联合优化算法

doi:10.11959/j.issn.1000-0801.2022150

Abstract

Abstract:

An energy efficiency optimization algorithm was proposed for the uplink of massive MIMO system with mixed precision analog-to-digital converter (ADC) at the receiver.Based on the maximum ratio combining detection algorithm (MRC), the approximate closed-form expression of system uplink energy efficiency was derived.Firstly, the proportion of high-precision ADC was determined, and then the quantization accuracy of low-resolution ADC, the user’s transmission power and the number of antennas at the base station was taken as the optimization objectives to alternately iterate to obtain the optimal energy efficiency value.Furthermore, the influence on energy efficiency and spectrum efficiency was analyzed by adjusting the proportion of high-precision ADC.The simulation results show that the proposed algorithm has high energy efficiency, and can achieve a better balance between energy efficiency and spectrum efficiency by adjusting the proportion of high-precision ADC.

Key words: massive MIMO, mixed-ADC, energy efficiency, spectrum efficiency, joint optimization

CLC Number:

TN929.53

Haiyan CAO, Zhongliang WANG, Hao XU, Qianhong CHEN, Fangmin XU. Energy efficiency joint optimization algorithm for mixed-ADC massive MIMO systems[J]. Telecommunications Science, 2022, 38(8): 65-74.

Figures/Tables 10

系统参数	数值
放大器效率γ	0.38
单用户功耗 $P_{UE}$ /mW	10
低噪声放大器功耗 $P_{LNA}$ /mW	10
基站单根天线其他功耗 ${\tilde{P}}_{BS}$ /mW	50
其他剩余功耗 $P_{site}$ /W	2
关于ADC的固定值 ${FOM}_{W} \cdot f_{s} / (W \cdot {conv-step}^{- 1})$	10^{- 7}
单用户最低速率要求 $R_{\min}$ /(bit·(s·Hz)^-1)	3
单用户最高发射功率 $P_{\max}$ /W	0.5
计算效率 $\frac{L}{B}$ /(bit·W^-1)	20 480
阈值τ	0.01

References 18

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b/bit	ρ
1	0.363 4
2	0.117 5
3	0.034 5
4	0.009 5
5	0.002 5

Energy efficiency joint optimization algorithm for mixed-ADC massive MIMO systems

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