能量高效超密集网络的最优部署

doi:10.11959/j.issn.1000-0801.2017068

Abstract

Abstract:

In order to maximize energy efficiency, the stochastic geometry method was used to model the uplink of a multi-cell multi-user MIMO cellular network.Then the system power consumption model was ameliorated.Based on this,an energy efficiency maximization problem with respect to base station density,transmit power,the number of base station antennas,users per cell and pilot reuse factor was obtained.Solving the problem,the optimal network deployment,as well as the relationship between the optimal variables,hardware characteristics and propagation environment was obtained.Finally, simulation and numerical results show that the ultra-dense network deployment can significantly improve the energy efficiency.However,with the further increase of the density of the base station,the improvement of the energy efficiency was quickly saturated.More interestingly,the deployment scenario determined by the energy efficiency optimization was just massive MIMO scenarios.

Key words: energy efficiency, ultra-dense network, massive MIMO, multi-user MIMO, uplink

CLC Number:

TN929.5

Liang GE,Zhixu WANG. Optimal deployment of energy-efficient ultra-dense network[J]. Telecommunications Science, 2017, 33(3): 44-51.

Figures/Tables 8

References 18

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参数	符号	数值
相干资源块长度/符号	S	400
路径衰落指数	α	3.76
1 km处衰落/dB	ω	130
功放效率	η	0.39
硬件失真等级	ε	0.05
符号时间/（s·符号^-1）	τ	0.5×10⁷
编码/解码/回程/（J·bit^-1）	A	1.15×10^-9
静态功耗/（J·符号^-1）	C₀	20 W×τ
单用户电路功耗/（J·符号^-1）	C₁	0.1 W×τ
单基站天线电路/（J·符号^-1）	D₀	0.5 W×τ
信号处理系数/（J·符号^-1）	D₁	1.56×10^-10
噪声方差/（J·符号^-1）	σ²	10^-20

Optimal deployment of energy-efficient ultra-dense network

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