【作者】 李宁； 易晓露； 邓中亮；

【Author】 Ning Li;Xiaolu Yi;Zhongling Deng;School of Electronic Engineering,Beijing University of Posts and Telecommunications;

【机构】 北京邮电大学电子工程学院；

【摘要】 卫星通常用作下一代网络环境中的接入网络,由卫星的返向链路支持多媒体和实时业务。然而,由于卫星资源的有限性,以及用户终端数量的不断增多,使得带宽资源的高效分配成为解决提高网络性能的关键问题。本文基于灰关联分析与背包理论,并结合DVB-S2的物理层技术ACM对背包理论的参数进行设计,提出了一种新的实现资源优化的调度机制算法——利用灰色关联分析得出数据包队列处理顺序,再给每个队列按照背包算法分配带宽资源。本文通过在OPNET软件上对这种资源分配机制进行模拟仿真,验证了该算法的有效性,为带宽的动态分配提供服务保障。更多还原

【Abstract】 The satellite is usually used as the access network in the next generation network environment,supporting for multimedia and real-time services by the satellite’s return link.However,due to the limited nature of satellite resources and the increasing number of terminals,the efficient allocation of bandwidth resources becomes the key problem to improve the performance of the network.Based on the grey relational analysis and knapsack theory,and designed with the physical layer technology of DVB-S2,ACM,and the parameters of knapsack theory,this paper proposes a new scheduling algorithm for resource optimization—Grey relational analysis is used to get the packet queue processing sequence,and then assign the bandwidth resource to each queue according to the knapsack algorithm.In this paper,the OPNET software is used to simulate the resource allocation mechanism,which proves the effectiveness of the proposed algorithm,and provides the service guarantee for the dynamic allocation of bandwidth.更多还原