杨希希,,
施颖洁,
陈前斌
重庆邮电大学移动通信技术重点实验室 ??重庆 ??400065
基金项目:国家自然科学基金(61571073)
详细信息
作者简介:唐伦：男，1973年生，教授，博士生导师，主要研究方向为新一代无线通信网络、异构蜂窝网络、软件定义无线网络等
杨希希：女，1992年生，硕士生，研究方向为网络虚拟化
施颖洁：女，1993年生，硕士生，研究方向为网路切片
陈前斌：男，1967年生，教授，博士生导师，主要研究方向为个人通信、多媒体信息处理与传输、下一代移动通信网络、异构蜂窝网络
通讯作者:杨希希 469519917@qq.com
中图分类号:TN929.5计量
文章访问数:963
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PDF下载量:52
被引次数:0
出版历程
收稿日期:2018-01-15
修回日期:2018-09-26
网络出版日期:2018-10-19
刊出日期:2019-01-01
ARMA-prediction Based Online Adaptive Dynamic Resource Allocation in Wireless Virtualized Networks
Lun TANG,Xixi YANG,,
Yingjie SHI,
Qianbin CHEN
Key Laboratory of Mobile Communication Technology, Chongqing University of Post and Telecommunications, Chongqing 400065, China
Funds:The National Natural Science Foundation of China (61571073)
摘要
摘要:该文针对无线虚拟化网络中业务的不确定和信息反馈的时延而引起虚拟资源分配不合理，提出一种基于自回归滑动平均(ARMA)预测的在线自适应虚拟资源分配算法。首先，该算法以保障虚拟网络队列上溢概率为目标对时频资源和缓存资源进行联合分配，并建立虚拟网络总成本最小化的理论分析模型。其次，考虑到虚拟网络对不同资源差异化的应用需求，设计了一种多时间尺度的资源动态调度机制，在长周期上基于ARMA模型的预测信息实现缓存资源的预留策略，在短周期上基于利用大偏差原理推导的队列上溢概率对虚拟网络优先级排序，并根据确定的优先级动态调度时频资源，从而满足各虚拟网络的业务需求。仿真结果表明，该算法可有效降低比特丢失率，同时提升物理资源的利用率。
关键词:无线虚拟化网络/
资源分配/
多时间尺度/
自回归滑动平均/
大偏差原理
Abstract:In order to solve the unreasonable virtual resource allocation caused by the uncertainty of service and delay of information feedback in wireless virtualized networks, an online adaptive virtual resource allocation algorithm proposed based on Auto Regressive Moving Average (ARMA) prediction. Firstly, a cost of virtual networks minimization is studied by jointly allocating the time-frequency resources and buffer space, while guaranteeing the overflow probability of each virtual network. Secondly, considering the different demand of virtual networks to different resources, a resource dynamic scheduling mechanism designed with multiple time scales, in which the reservation strategy of buffer space is realized based on the ARMA’s prediction information in slow time scale and the virtual networks are sorted according to the overflow probability derived by the large deviation principle and dynamically schedules the time-frequency resources in fast time scale, so as to meet the service demand. Simulation results show that the algorithm can effectively reduce the bit loss rate and improve the utilization of physical resources.
Key words:Wireless virtualized networks/
Resource allocation/
Multiple time-scale/
Auto Regressive Moving Average (ARMA)/
Large deviation principle
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