低精度ADC大规模MIMO系统的能效联合优化算法

doi:10.11959/j.issn.1000-0801.2020167

Abstract

Abstract:

An uplink energy efficiency optimization algorithm based on alternating optimization algorithm was proposed for large-scale multiple-input multiple-output (MIMO) systems with low-precision analog to digital converters (ADC).That is,based on the maximum ratio combining (MRC) reception,an optimization model aiming at maximizing energy efficiency was established,and then the original fractional form optimization problem was converted into an equivalent subtractive form according to the nature of the fractional programming.In the case where the number of quantization bits was constant,the iterative optimization of the transmission power and the pilot length were performed.Simulation results show that the proposed algorithm has better spectral efficiency and energy efficiency.

Key words: massive MIMO, ADC, alternate optimization, energy efficiency

CLC Number:

TN929.53

Haiyan CAO,Wenjuan HU,Yingjuan ZHI,Fangmin XU,Xin FANG. Energy efficiency joint optimization algorithm for low-precision ADC massive MIMO systems[J]. Telecommunications Science, 2020, 36(6): 90-96.

Figures/Tables 7

References 13

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b	1	2	3	4	5
α	0.636 6	0.882 8	0.965 46	0.990 503	0.997 501

参数	值
与ADC相关的固定值D	10^{- 7}
与ADC相关的固定值?	1
功率放大效率因子η	0.3
BS端每根天线的传输链消耗功率P_tb	1W
每个用户端传输链消耗功率P_tu	0.2 W
其他特定消耗功率P_site	5W
用户数K	10

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Energy efficiency joint optimization algorithm for low-precision ADC massive MIMO systems

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