华南理工大学学报(自然科学版) ›› 2015, Vol. 43 ›› Issue (5): 30-34.doi: 10.3969/j.issn.1000-565X.2015.05.005

• 电子、通信与自动控制 • 上一篇    下一篇

混合业务下基于能效准则的基站开/关选择策略

潘伟锵1 胡少东2,3 刘靖4   

  1. 1. 华南理工大学 网络中心,广东 广州 510640; 2. 中国电信股份有限公司 广东研究院,广东 广州 510630;3. 华南理工大学 电子与信息学院,广东 广州 510640; 4. 中国电信广东分公司,广东 广州 510081
  • 收稿日期:2015-03-17 修回日期:2015-04-13 出版日期:2015-05-25 发布日期:2015-05-07
  • 通信作者: 潘伟锵(1972-),男,博士,高级工程师,主要从事通信网络研究. E-mail:wqpan@scut.edu.cn
  • 作者简介:潘伟锵(1972-),男,博士,高级工程师,主要从事通信网络研究.
  • 基金资助:

    国家自然科学基金资助项目(61171083,61322108,61271209,61431005);教育部科技研究重大专项(313021);广东省教育部产学研结合项目(2012J2200005)

Energy Efficiency-Based Cell Switch On-Off Strategy Under Heterogeneous Services

Pan Wei-qiang1 Hu Shao-dong2,3 Liu Jing4   

  1. 1. Information Network Engineering and Research Center,South China University of Technology,Guangzhou 510640,
    Guangdong,China; 2. Guangdong Research Institute,China Telecom,Guangzhou 510630,Guangdong,China;3. School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China; 4. Guangdong Branch,China Telecom,Guangzhou 510081,Guangdong,China
  • Received:2015-03-17 Revised:2015-04-13 Online:2015-05-25 Published:2015-05-07
  • Contact: 潘伟锵(1972-),男,博士,高级工程师,主要从事通信网络研究. E-mail:wqpan@scut.edu.cn
  • About author:潘伟锵(1972-),男,博士,高级工程师,主要从事通信网络研究.
  • Supported by:
    Supported by the National Natural Science Foundation of China(61171083,61322108,61271209,61431005),the Key Grant Project of Chinese Ministry of Education(313021)and the Industry-University-Research Joint Project of Guangdong
    Province and the Ministory of Education(2012J2200005)

摘要: 为提升无线系统的能效,针对用户随时间的潮汐变化特点,文中提出了一种通过基站开关切换提升系统能效的方法——基于能效准则的基站开/关选择策略,将用户业务分为恒定比特率业务和可变比特率业务,在满足恒定比特率业务的约束下最大化能源效率. 文中采用改进的自适应遗传算法来求解此约束优化问题,即基站开关状态用二进制编码,通过设计的选择、交叉、变异实现迭代寻优. 仿真结果表明:文中提出的改进遗传算法收敛速度快,能有效对抗染色体群体的早熟问题;在满足恒定比特率用户需求的前提下,文中策略可有效地提升无线系统的能效,其性能接近穷举算法.

关键词: 基站开关, 能效, 遗传算法, 约束优化

Abstract: In order to improve the energy efficiency of wireless communication systems,by taking into consideration the tidal property of user demands,a strategy to improve energy efficiency for cellular system is proposed on the ba-sis of cell switch on-off. In this strategy,the demands of users are divided into constant-bit-rate (CBR) and varia-ble-bit-rate (VBR) demands to maximize the energy efficiency under the constraint that CBR demands are ful-filled. Moreover,an improved genetic algorithm (GA) is employed to solve the constrained optimization problem,and the switch on-off states of base stations are encoded with binary sequence,followed with specifically-designed selection,crossover and mutation operators. Simulated results show that the proposed GA algorithm achieves fast convergence and prevents prematurity of chromosome population; and that the proposed cell switch on-off strategy effectively improves system's energy efficiency and guarantees the demand of CBR service,so that it is of high per-formance close to the exhaustive searching algorithm.

Key words: cell switch, energy efficiency, genetic algorithms, constrained optimization

中图分类号: