用遗传算法优化WCDMA网络QoS

3G蜂窝移动通信系统旨在提供多种业务,比如语音业务、数据业务以及基于分组交换网的多媒体业务。为了提供这些业务的服务质量保证,提出了一种优化WCDMA(W ideband Code-D ivision Mu ltip le Access)网络QoS(Quality of Service)的遗传算法(GA:Genetic A lgorithm)。使用该算法,研究了如何实时对WCDMA网络参数进行最优配置,以最大限度地提高使用不同输入通信流量混叠业务用户的满意度。仿真实验结果表明,该算法可以根据混叠输入通信流量动态有效地配置网络参数,以使服务的性能达到最优化:使用GA后,网络的频谱利用率达到18%;GA的收敛速度相当好,例如在假定所有的通信量混和的情况下,经过20~30次的反复后,就可以达到最优的配置参数。

Optimization of Quality of Service for WCDMA Networks Using Genetic Algorithm

3G cellular systems are targeted at supporting various applications such as voic e,data,and multimedia over packet switched networks.Providing QoS(Quality of Service) to guarantee for these applications is an important objective in the design of the WCDMA(Wideband Code-Division Multiple Access) wireless networks.This paper presents a genetic approach to optimize the QoS for the WCDMA netw orks.Using a GA(Genetic Algorithm),we investigate how WCDMA network parameter s can be changed simultaneously to maximize the percentage of satisfied users of the offered services with respect to different input traffic mix.Simulation re sults shows that GA is an efficient method that can be used to automate network parameter settings according to input traffic mix,in order to maximize the serv ices'performances.It was observed that,using GA,the network could achieve up to 18% spectral efficiency gain and the GA convergence speed was reasonably goo d,for example,optimal parameter configuration was obtained after 20 to 30 iter ations in all analyzed traffic mix scenarios.