去蜂窝大规模MIMO系统功率控制算法

doi:10.12305/j.issn.1001-506X.2021.03.32

Abstract

Abstract:

In response to the increasing demand for mobile communication traffic, the user access point (AP) selection and downlink power control is used to improve the users experience of the cell-free (CF) massive multiple input multiple output (MIMO) system. Based on the maximum signal interference plus noise ratio, an effective subset of service APs is selected for each user. Based on the result of the AP selection, aiming at providing different quality-of-service (QoS) to users with different priorities, a long-term power constraint optimization model of downlink weighted power control is established. The problem is transformed into a convex optimization problem. By solving this problem, a set of optimized downlink power control coefficients is obtained. The algorithm is verified by simulation, which can increase the spectral efficiency of 95% users of the CF massive MIMO system by about 11 times. At the same time, it helps to effectively improve the experience of high-priority users. It has certain significance for the study of the CF massive MIMO system.

Key words: mobile communication, massive multiple input multiple output (MIMO), access point selection, weighted power control, cell-free

CLC Number:

TN929.5

Di ZHAO, Aihuang GUO, Chunlin SONG. Power control algorithm for cell-free massive MIMO system[J]. Systems Engineering and Electronics, 2021, 43(3): 854-860.

Figures/Tables 9

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References 18

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参数	取值
载波频率/MHz	1 800
系统带宽/MHz	20
τ_c	200
噪声功率/mW	7.21×10^-10
ρ_p/mW	100
ρ_d/mW	200
d₀/m	10
d₁/m	50
AP天线高度/m	15
UE天线高度/m	1.65
σ_sh/dB	8

系统	无功控	文献[4]算法	本文算法
微蜂窝	0.065	0.359	0.765
去蜂窝	0.02	0.053	0.06

权值	UE1	UE2	UE3	UE4	UE5	UE6	UE7	UE8	E9	UE10
1:1	1.460	1.457	1.461	1.457	1.457	1.458	1.457	1.457	1.457	1.458
1:2	2.089	2.089	1.399	1.394	1.393	1.394	1.394	1.394	1.394	1.394
1:3	2.391	2.392	1.282	1.275	1.272	1.273	1.274	1.274	1.274	1.273

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Power control algorithm for cell-free massive MIMO system

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