Electronics, Communication & Automation Technology

Genetic Algorithm-Based Dynamic Planning and Management of Reconfigurable System

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  • School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150080,Heilongjiang,China
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.

Received date: 2009-10-09

  Revised date: 2010-02-01

  Online published: 2010-09-25

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)

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.

Cite this article

Xu Yu-bin Ding Zhe Sha Xue-jun . Genetic Algorithm-Based Dynamic Planning and Management of Reconfigurable System[J]. Journal of South China University of Technology(Natural Science), 2010 , 38(9) : 13 -19 . DOI: 10.3969/j.issn.1000-565X.2010.09.003

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