Journal of South China University of Technology (Natural Science Edition) ›› 2010, Vol. 38 ›› Issue (9): 13-19.doi: 10.3969/j.issn.1000-565X.2010.09.003

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Genetic Algorithm-Based Dynamic Planning and Management of Reconfigurable System

Xu Yu-bin  Ding Zhe  Sha Xue-jun   

  1. School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150080,Heilongjiang,China
  • Received:2009-10-09 Revised:2010-02-01 Online:2010-09-25 Published:2010-09-25
  • Contact: 徐玉滨（1954-），男，教授，博士生导师，主要从事通信网及专用移动通信系统、导航定位技术、多媒体通信技术等研究 E-mail:ybxu@hit．edu．cn
  • About author:徐玉滨（1954-），男，教授，博士生导师，主要从事通信网及专用移动通信系统、导航定位技术、多媒体通信技术等研究．
  • Supported by:

    国家“973”计划项目（2007CB310606）; “新一代宽带无线移动通信网”国家科技重大专项（2009ZX03004-001）

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Abstract:

The dynamic planning and management（DPM） of reconfigurable system is regarded as a complicated combinatorial optimization problem.In this paper,a novel DPM method based on genetic algorithm is presented,which enables the fast convergence in the valid solution space and meets the real-time requirements of DPM.Moreover,a novol traffic distribution planning method based on the spectral efficiencies offered by different RATs is pre-sented to improve the overall spectral efficiency of the reconfigurable system.Simulated results demonstrate that the DPM method based on the proposed traffic distribution planning is of a spectral efficiency gain of 38.1%,and that it outperforms the one based on the conventional traffic distribution planning in terms of overall spectral efficiency.

Key words: dynamic planning, dynamic management, genetic algorithm, reconfigurable system