Spectrum allocation of cognitive wireless network based on immune clone selection optimization

CHAI Zheng-yi1; LIU Fang1

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Spectrum allocation of cognitive wireless network based on immune clone selection optimization

更新时间：2024-10-14

- Spectrum allocation of cognitive wireless network based on immune clone selection optimization
- Vol. 31, Issue 11, Pages: 92-100(2010)
- 作者机构：
  
  1. 西安电子科技大学计算机学院
  2. 河南工业大学信息科学与工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN925
- Published：2010
- 稿件说明：
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CHAI Zheng-yi1, LIU Fang1. Spectrum allocation of cognitive wireless network based on immune clone selection optimization[J]. 2010, 31(11): 92-100.
DOI：

CHAI Zheng-yi1, LIU Fang1. Spectrum allocation of cognitive wireless network based on immune clone selection optimization[J]. 2010, 31(11): 92-100. DOI：

摘要

结合WRAN(无线区域网)给出了频谱感知过程;通过分析无线认知网络的物理连接

给出了频谱分配的数学模型

并将此模型转换为以网络效益最大化为目标的带约束优化问题

进而提出一种基于免疫克隆选择优化的认知无线网络频谱分配算法

并证明了该算法以概率1收敛。最后

对此算法进行了仿真实验。实验结果表明:所提算法与CSGC(颜色敏感图着色)算法、GA-SA(基于遗传算法的频谱分配)算法相比

能更好地实现网络效益最大化

同时

基于WRAN的系统级仿真结果

进一步证明了算法的有效性。

Abstract

The spectrum sensing process was described based on WRAN.By analyzing physical connection of cognitive wireless network

the mathematical model of spectrum allocation was given

and then it was converted into a constrained optimization problem

whose goal was to maximum the profit of network.An immune clone selection algorithm was proposed to solve the problem

and the algorithm convergent with probability 1 was proved.Finally

the simulation experiments were done to test the algorithm.The results showed that compared with CSGC algorithm（color-sensitive graph coloring） and GA-SA（spectrum allocation based on genetic algorithm）

this algorithm could achieve maximization of network profits.Meanwhile

the system simulation results based on WRAN confirmed its effectiveness.

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