Optimal deployment of energy-efficient ultra-dense network

Liang GE; Zhixu WANG

doi:10.11959/j.issn.1000-0801.2017068

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Optimal deployment of energy-efficient ultra-dense network

research and development | 更新时间：2024-06-05

- Optimal deployment of energy-efficient ultra-dense network
- Telecommunications Science Vol. 33, Issue 3, Pages: 44-51(2017)
- 作者机构：
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- DOI：10.11959/j.issn.1000-0801.2017068
  CLC： TN929.5
- Published Online：2017-03，
  
  Published：20 March 2017
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Liang GE, Zhixu WANG. Optimal deployment of energy-efficient ultra-dense network[J]. Telecommunications science, 2017, 33(3): 44-51.
DOI：

Liang GE, Zhixu WANG. Optimal deployment of energy-efficient ultra-dense network[J]. Telecommunications science, 2017, 33(3): 44-51. DOI： 10.11959/j.issn.1000-0801.2017068.

摘要

为使能量效率最大化，采用随机几何方法对多小区多用户MIMO蜂窝网络的上行链路进行建模，改进系统功耗模型，得到一个关于基站密度、发送信号功率、基站天线数、小区用户数以及导频复用因子的能量效率最大化问题。求解该问题，可得到最优的网络部署方案以及各最优参数与硬件特性、传播环境之间的关系。仿真与数值计算结果显示，超密集网络部署可以显著提高能量效率，但是随着基站密度的进一步增加，能量效率的提升很快饱和。更有趣的是，能量效率最优化所确定的部署方案恰为大规模MIMO情形。

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.

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references

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