基于Thomas簇过程的异构蜂窝网能量效率分析

金明录; 郭楠

doi:10.11959/j.issn.1000-436x.2019184

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基于Thomas簇过程的异构蜂窝网能量效率分析

学术论文 | 更新时间：2024-06-05

- 基于Thomas簇过程的异构蜂窝网能量效率分析
- Energy efficiency analysis of heterogeneous cellular network based on Thomas cluster process
- 通信学报 2019年40卷第10期页码：149-156
- 作者机构：
  
  大连理工大学信息与通信工程学院，辽宁大连 116024
- 作者简介：
  
  [ "金明录（1958- ），男，朝鲜族，吉林图们人，博士，大连理工大学教授，主要研究方向为信号与通信系统基础理论与技术。" ]
  [ "郭楠（1993- ），女，辽宁瓦房店人，大连理工大学硕士生，主要研究方向为基于随机几何理论的异构蜂窝网性能分析。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-436x.2019184
  中图分类号： TN929.5
- 网络出版日期：2019-10，
  
  纸质出版日期：2019-10-25
- 稿件说明：
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金明录, 郭楠. 基于Thomas簇过程的异构蜂窝网能量效率分析[J]. 通信学报, 2019,40(10):149-156.

Minglu JIN, Nan GUO. Energy efficiency analysis of heterogeneous cellular network based on Thomas cluster process[J]. Journal on communications, 2019, 40(10): 149-156.
金明录, 郭楠. 基于Thomas簇过程的异构蜂窝网能量效率分析[J]. 通信学报, 2019,40(10):149-156. DOI： 10.11959/j.issn.1000-436x.2019184.

Minglu JIN, Nan GUO. Energy efficiency analysis of heterogeneous cellular network based on Thomas cluster process[J]. Journal on communications, 2019, 40(10): 149-156. DOI： 10.11959/j.issn.1000-436x.2019184.

摘要

针对现有的异构蜂窝网（HCN）中小小区的迅速增加给用户密集的热点区域带来的巨大的能源消耗问题，提出了以用户为中心的用户热点模型框架。首先，使用Thomas簇过程对HCN热点地区的用户进行建模；其次，结合最大平均偏置接收功率的连接策略以实现基站负载均衡；最后，利用随机几何理论推导出用户的关联概率和覆盖概率，给出网络能量效率的定义。仿真分析验证了推导的计算式的准确性，证明了设置合适的偏置因子可以大大提高网络的能量效率。

Abstract

In the existing heterogeneous cellular networks (HCN)

the rapid increasing of small cells caused a problem that the hotspots where users were clustered generated a huge amount of energy consumption.To improve the energy efficiency of the networks

the spatial model was researched.The users in hotspots in the HCN were modeled as the Thomas cluster process

combined with the max mean bias received signal power (max-BRP) strategy to achieve base station load balancing

and the user’s association probability

coverage probability and the network’s energy efficiency were derived using tool from stochastic geometry.The simulation shows that the derived formulas are accurate

and the network’s energy efficiency can be greatly improved by setting appropriate bias factors.

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Keywords

references

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