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

电信科学 ›› 2022, Vol. 38 ›› Issue (8): 65-74.doi: 10.11959/j.issn.1000-0801.2022150

基于混合精度ADC量化的大规模MIMO系统能效联合优化算法

曹海燕, 汪忠亮, 徐好, 陈千鸿, 许方敏

杭州电子科技大学，浙江杭州 310018

修回日期:2022-06-10 出版日期:2022-08-20 发布日期:2022-08-01
作者简介:曹海燕（1975- ），女，博士，杭州电子科技大学通信工程学院副教授，主要研究方向为无线通信系统的信道编码、信号检测、信道估计、能效优化等
汪忠亮（1997- ），男，杭州电子科技大学通信工程学院硕士生，主要研究方向为大规模MIMO系统功率优化算法
徐好（1996- ），男，杭州电子科技大学通信工程学院硕士生，主要研究方向为大规模MIMO系统的能效优化
陈千鸿（1997- ），男，杭州电子科技大学通信工程学院硕士生，主要研究方向为毫米波大规模MIMO系统中混合预编码
许方敏（1980- ），女，杭州电子科技大学通信工程学院讲师，主要研究方向为先进移动通信系统及其关键技术，包括干扰抑制策略、无线资源管理策略
基金资助:
国家自然科学基金资助项目(61501158);浙江省自然科学基金资助项目(LY20F010009)

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

Haiyan CAO, Zhongliang WANG, Hao XU, Qianhong CHEN, Fangmin XU

Hangzhou Dianzi University, Hangzhou 310018, China

Revised:2022-06-10 Online:2022-08-20 Published:2022-08-01
Supported by:
The National Natural Science Foundation of China(61501158);The Natural Science Foundation of Zhejiang Province(LY20F010009)

摘要/Abstract

摘要：

摘要：针对在接收端采用混合精度的数模转换器（analog-to-digital converter，ADC）的大规模MIMO系统上行链路，提出一种能效优化算法。在采用最大比合并（maximum ratio combining，MRC）检测算法的基础上，推导得到系统上行链路能效的近似闭式表达式。首先确定高精度ADC的占比率，再以低分辨率ADC的量化精度、用户的发射功率和基站端天线数为优化目标的 3 个变量进行交替迭代得出最优的能效值；并进一步通过调整高精度ADC的占比率分析其对能效和频效的影响。仿真结果表明，所提算法具有较高的能效值，并且可以通过调整占比率实现能效与频效更好地折中。

关键词: 大规模MIMO, 混合精度ADC, 能效, 频效, 联合优化

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

中图分类号:

TN929.53

曹海燕, 汪忠亮, 徐好, 陈千鸿, 许方敏. 基于混合精度ADC量化的大规模MIMO系统能效联合优化算法[J]. 电信科学, 2022, 38(8): 65-74.

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.

图/表 10

表1

图1

表2

部分仿真参数"

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

表2

图2

图3

图4

图5

图6

图7

图8

参考文献 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

基于混合精度ADC量化的大规模MIMO系统能效联合优化算法

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

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