摘要
针对认知无线电空闲频谱分配过程中整体性能优化问题,建立了频谱资源受限情况下实现系统总带宽收益最大化、认知用户接入公平性最优的多目标模型,并结合问题特点设计了基于粒子群优化算法的智能求解算法,给出了具体的实施步骤。从系统总带宽收益、用户接入公平性和系统整体性能3个方面,仿真比较分析了所提算法同协作最大化带宽总收益和协作最大化比例公平性准则下的敏感图着色算法的性能,结果表明该方法实现了系统总带宽收益和用户公平性的折中,整体性能优于敏感图着色算法。
A multi-object optimization model was constructed concerning the overall performance optimization problem of cognition radio system in the process of idle bands allocation.The model realized the maximization of system＇s total bandwidth benefit and second user＇s access fairness.An intelligent optimization algorithm as well as its concrete implementation were given,which is based on Particle Swarm Optimization（PSO）.Simulations were conducted to compare the proposed method with the Color-Sensitive Graph Coloring（CSGC） algorithm under the Collaborative-Max-Sum-Reward（CSUM） and Collaborative-Max-Proportional-Fair（CMPF） rules,which took system＇s total bandwidth benefit,second user＇s access fairness and system＇s overall performance as the evaluation guidelines.As a result,the proposed method takes a good trade-off between total system bandwidth benefit and user＇s accessing fairness,and has a better overall system performance.
出处
《计算机应用》
CSCD
北大核心
2011年第12期3184-3186,3214,共4页
journal of Computer Applications
基金
国家863计划项目(2008AA04A105)
沈阳市科技计划项目(F10-205-1-51)
关键词
认知无线电
频谱分配
图论着色
粒子群优化算法
Cognitive Radio（CR）
spectrum allocation
graph coloring
Particle Swarm Optimization（PSO） algorithm
