基于基站休眠技术的无线通信网络能源协作策略

蒋阅; 刘海林; 王强

doi:10.12052/gdutxb.170127

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基于基站休眠技术的无线通信网络能源协作策略

更新时间：2026-05-27

- 基于基站休眠技术的无线通信网络能源协作策略
- Energy Cooperation Strategy for Wireless Communication Networks Based on Base Station Sleep Technology
- 广东工业大学学报 2018年35卷第2期页码：69-74
- 作者机构：
  
  1. 广东工业大学　信息工程学院,广东,广州,510006
  2. 广东工业大学　应用数学学院,广东,广州,510520
  3. 广东工业大学　自动化学院,广东,广州,510006
- 作者简介：
  
  蒋阅(1990–)，男，硕士研究生，主要研究方向为移动通信网络优化、资源分配
  刘海林(1963–)，男，教授，主要研究方向为移动通信网络优化、通信信号处理、智能计算. E-mail：hlliu@gdut.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(61673121)
- DOI：10.12052/gdutxb.170127
  中图分类号： TN929.5
- 网络首发：2018-03-09，
  
  纸质出版：2018
- 稿件说明：
移动端阅览
蒋阅, 刘海林, 王强. 基于基站休眠技术的无线通信网络能源协作策略[J]. 广东工业大学学报, 2018, 35(2): 69-74.

Jiang Yue, Liu Hai-lin, Wang Qiang. Energy Cooperation Strategy for Wireless Communication Networks Based on Base Station Sleep Technology[J]. 2018, 35(2): 69-74.
蒋阅, 刘海林, 王强. 基于基站休眠技术的无线通信网络能源协作策略[J]. 广东工业大学学报, 2018, 35(2): 69-74. DOI： 10.12052/gdutxb.170127.

Jiang Yue, Liu Hai-lin, Wang Qiang. Energy Cooperation Strategy for Wireless Communication Networks Based on Base Station Sleep Technology[J]. 2018, 35(2): 69-74. DOI： 10.12052/gdutxb.170127.

摘要

有效提高无线通信网络能源效率

降低能源成本

提升通信服务质量

一直是通信领域重要的研究课题. 本文利用基站休眠技术关闭低负载状态或处于空闲状态的基站

联合能源采集技术采集清洁能源供基站和其他系统使用

通过系统能源协作降低能源的浪费

该协作模型是一个约束优化问题

使用一种动态权重约束优化处理算法对模型进行求解分析. 实验表明

本文提出的系统模型能有效降低网络能耗

提高通信速率.

Abstract

Effectively improving the wireless communication network energy efficiency

reducing energy costs

and improving the quality of communication services has always been an important research topic in the field of communication. The base station sleep technology is used to close the low load or the idle state of the base station combining with energy collection technology to collect clean energy for the use of base stations and other systems. Through the system energy collaboration to reduce energy waste

the collaborative model is in a constraint optimization problem. A dynamic weight constraint optimization algorithm is used to solve the model. Experiments show that our proposed system model can effectively reduce the network energy consumption and improve the communication rate.

关键词

Keywords

references

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