摘要
为改善多业务LTE下行系统的吞吐量和公平性并满足用户对多业务的需求,提出一种基于遗传算法的资源分配算法。该算法以遗传算法为基础,建立以适应度函数值之和最大化为目的的优化目标,根据用户业务的服务质量需求和信道状态信息设计适应度函数,经过选择、交叉、变异等操作,得到相对最优资源分配方案。仿真结果表明,与传统算法相比,该算法满足多种业务的服务质量需求,增加系统的公平性,对实时业务提供较小的时延,对尽力而为业务提供更大的吞吐量。
A resource allocation scheme based on Genetic Algorithm is proposed for the down- link of integrated services LTE system in order to improve the throughput and fireness of the system, and to satisfy users requirements of multi-traffic. The optimization object which maxi- mizes the sum of the fitness functions~ value is built, and three fitness functions for Real Time, Non Real Time and Best Effort services are given by this algorithm. Fitness functions according to the services QoS and CSI are also designed by this algorithm, and then used to get the opti- mal allocation scheme after selection, crossover, mutation operations. Simulation results show that compared with the traditional algorithm, this algorithm can satisfy integrated services ~ QoS, raise the fairness of system, provide smaller delay for real time services, and maintain higher throughput for the best effort services.
出处
《西安邮电大学学报》
2014年第1期50-54,共5页
Journal of Xi’an University of Posts and Telecommunications
基金
陕西省教育厅科技计划基金资助项目(07JK377)
关键词
资源分配
长期演进
遗传算法
resource allocation, long term evolution（LTE）, genetic algorithm（GA）
