北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2016, Vol. 39 ›› Issue (3): 120-125.doi: 10.13190/j.jbupt.2016.03.022

• 研究报告 • 上一篇    下一篇

多目标联合优化的移动中继选择策略

赵季红1,2, 张艳平2, 曲桦1, 徐西光1   

  1. 1. 西安交通大学 电信学院, 西安 710049;
    2. 西安邮电大学 通信与信息工程学院, 西安 710061
  • 收稿日期:2015-09-16 出版日期:2016-06-28 发布日期:2016-06-27
  • 作者简介:赵季红(1963-),女,教授,博士生导师;张艳平(1988-),女,博士生,E-mail:likesping@163.com.
  • 基金资助:

    国家自然科学基金项目(61372092);国家高技术研究发展计划(863计划)项目(2014AA01A706)

Multi-Objective Joint Optimization Based Mobile Relay Selection Scheme

ZHAO Ji-hong1,2, ZHANG Yan-ping2, QU Hua1, XU Xi-guang1   

  1. 1. The School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China;
    2. The School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an 710061, China
  • Received:2015-09-16 Online:2016-06-28 Published:2016-06-27

摘要:

为了在提升用户吞吐量的同时降低中继节点切换概率,分析了动态场景下用户与中继节点的移动状态,提出了多目标联合优化的移动中继选择策略.算法通过分析动态场景中影响系统吞吐量与中继切换概率的因素进行中继节点选择,充分考虑了多跳蜂窝网络的移动特性和用户呼叫到达状态.仿真结果表明,所提算法在有效提升用户吞吐量的同时降低了中继切换概率.

关键词: 多跳蜂窝网络, 吞吐量, 中继切换概率, 多目标联合优化

Abstract:

The mobile relay selection problems in multi-hop cellular network are studied. The selection of mobile relay affects such performances as the throughput of the system, spectral efficiency and relay switching probability. In order to improve the throughput and reduce the relay switching probability, the mobile state of the users and the relay nodes in the dynamic scenario was analyzed, then a multi-objective joint optimization based mobile relay selection scheme was proposed. The scheme analyzes two factors which affect the system throughput and the relay switching probability in dynamic scenario. The mobile characteristic of multi-hop cellular network and the state of users' call arrival are taken into full consideration. Simulation shows that the algorithm can improve the users' throughput effectively and reduce the relay switching probability.

Key words: multi-hop cellular network, throughput, relay switching probability, multi-objective joint optimization

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