摘要
为了满足不同环境对资源调度性能的不同要求,提出一种基于多目标决策的下行资源调度算法。该算法采用运筹学中多目标决策理论思想,在每个TTI调度时,把吞吐量、公平因子和丢包率3个指标作为决策准则,MAX C/I、Max-Min和FIFO改进调度算法作为备选方案动态进行决策,实现性能可调的资源调度算法。仿真结果表明:该算法是一种可满足不同需求的调度算法,可根据需求矩阵调整算法性能。
In order to satisfy different performance requirements in different environments, the paper proposed downlink resource scheduling algorithm based on multi-objective decision. It employs the theory of multi-objective criterion in Oper- ations Research. Three parameters which are called throughput, fairness index and packet loss rate are chosen as the prime criterions of the decision, While MAX C/I, Max-Min and FIFO improved scheduling algorithms are served as the backup to provide the dynamic decision during each TTI scheduling, which lead to scheduling algorithm with variable per- formance. The simulation results show that the algorithm would satisfy various demands, and its performance can be ad- justed by the modification on the demand matrix.
出处
《软件导刊》
2015年第10期38-42,共5页
Software Guide
基金
教育部新世纪人才项目(NECT-10-0705)
中央高校基本科研业务项目(SWJTU11CX147
SWJTU11CX040)
东南大学移动通信国家重点实验室开放基金项目(2011D16)