密集异构网络中基于非邻区关系分簇的集中式基站休眠算法

曹一侃; 解志斌; 王亚军; 夏本琦

doi:10.11959/j.issn.1000-0801.2018171

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密集异构网络中基于非邻区关系分簇的集中式基站休眠算法

研究与开发 | 更新时间：2024-06-05

- 密集异构网络中基于非邻区关系分簇的集中式基站休眠算法
- Centralized base station sleep algorithm based on non-neighbor relation clustering in dense heterogeneous networks
- 电信科学 2018年34卷第5期页码：63-71
- 作者机构：
- 作者简介：
  
  [ "曹一侃（1987-），男，江苏科技大学电子信息学院硕士生，主要研究方向为绿色通信、网络能效优化。" ]
  [ "解志斌（1981-），男，江苏科技大学电子信息学院副教授，主要研究方向为绿色通信、干扰管理。" ]
  [ "王亚军（1972-），男，江苏科技大学理学院副教授，主要研究方向为MIMO-OFDM系统、优化理论与算法在无线通信中的应用。" ]
  [ "夏本琦（1992-），男，江苏科技大学电子信息学院硕士生，主要研究方向为干扰管理。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61401180);国家自然科学基金资助项目;The National Natural Science Foundation of China(61371114)
- DOI：10.11959/j.issn.1000-0801.2018171
  中图分类号： TN929
- 网络出版日期：2018-05，
  
  纸质出版日期：2018-05-20
- 稿件说明：
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曹一侃, 解志斌, 王亚军, 等. 密集异构网络中基于非邻区关系分簇的集中式基站休眠算法[J]. 电信科学, 2018,34(5):63-71.

Yikan CAO, Zhibin XIE, Yajun WANG, et al. Centralized base station sleep algorithm based on non-neighbor relation clustering in dense heterogeneous networks[J]. Telecommunications science, 2018, 34(5): 63-71.
曹一侃, 解志斌, 王亚军, 等. 密集异构网络中基于非邻区关系分簇的集中式基站休眠算法[J]. 电信科学, 2018,34(5):63-71. DOI： 10.11959/j.issn.1000-0801.2018171.

Yikan CAO, Zhibin XIE, Yajun WANG, et al. Centralized base station sleep algorithm based on non-neighbor relation clustering in dense heterogeneous networks[J]. Telecommunications science, 2018, 34(5): 63-71. DOI： 10.11959/j.issn.1000-0801.2018171.

摘要

密集异构网络中，大量部署的低功率基站将会带来巨大的网络能耗，基站休眠算法可以有效降低网络能耗，但在算法实施过程中存在复杂度较高、准确性易受影响以及网络信令负担大等问题。为此，提出了一种适用于密集异构网络的基于非邻区关系分簇的集中式基站休眠算法。该算法首先基于非邻区关系准则，将不存在用户直接相互切换关系的低功率基站分为一簇，然后根据每簇内基站能效均值以及用户和基站的位置关系，分别设置潜在休眠基站判决机制和基站运行模式判决机制，最后所有簇依次执行簇内判决机制。仿真结果表明，该休眠算法具有良好的网络性能。

Abstract

A centralized base station sleeping algorithm based on non-neighbor relation clustering was proposed for dense heterogeneous networks.Firstly

based on the non-neighbor relationship criterion

the low power base stations with no direct switching relationship were clustered into several groups.Then

the low power base station running mode decision mechanism and possible base station sleeping decision mechanism was set according to the energy efficiency mean of base station in each cluster and the position relations between the users and the base station.At last

all clusters run the decision mechanism of inner cluster according to the order of the implementation of sleeping algorithm.The simulation results show that the proposed algorithm has satisfactory network performance.

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references

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