电子、通信与自动控制

基于遗传算法的可重配置系统动态规划和管理

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  • 哈尔滨工业大学 电子与信息工程学院, 黑龙江 哈尔滨 150080
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.

收稿日期: 2009-10-09

  修回日期: 2010-02-01

  网络出版日期: 2010-09-25

基金资助

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)

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)

摘要

可重配置无线通信系统的动态规划和管理是个复杂的组合优化问题.为此,文中提出一种基于遗传算法的方法,其能够在合法解空间中快速收敛到最优解,满足动态规划和管理的实时性要求.文中还提出了基于不同RAT频谱利用率差异的优化业务分布规划方法,以进一步提升系统的整体资源利用率.仿真结果表明,基于优化业务分布规划的动态规划和管理方法能够获得38.1%的频谱效率增益,相比基于传统业务分布规划的动态规划和管理方法大幅度提高了系统的整体频谱资源利用率.

本文引用格式

徐玉滨 丁哲 沙学军 . 基于遗传算法的可重配置系统动态规划和管理[J]. 华南理工大学学报(自然科学版), 2010 , 38(9) : 13 -19 . DOI: 10.3969/j.issn.1000-565X.2010.09.003

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.

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