QoE感知的V-CRAN视频传输资源分配策略

doi:10.19665/j.issn1001-2400.2022.03.006

西安电子科技大学学报 ›› 2022, Vol. 49 ›› Issue (3): 48-58.doi: 10.19665/j.issn1001-2400.2022.03.006

QoE感知的V-CRAN视频传输资源分配策略

张鸿^1,^2,³(),黄闯^1,^2,³(),邹虹^1,^2,³(),王汝言^1,^2,³(),徐瑞鑫^1,^2,³(),李职杜^1,^2,³()

1.重庆邮电大学通信与信息工程学院,重庆 400065
2.先进网络与智能互联技术重庆市高校重点实验室,重庆 400065
3.泛在感知与互联重庆市重点实验室,重庆 400065

收稿日期:2020-11-30 修回日期:2021-11-24 出版日期:2022-06-20 发布日期:2022-07-04
作者简介:张鸿(1987—),男,讲师,博士,E-mail: hongzhang@cqupt.edu.cn|黄闯(1995—),男,重庆邮电大学硕士研究生,E-mail: 2224773729@qq.com|邹虹(1970—),女,副教授,硕士,E-mail: zouhong@cqupt.edu.cn|徐瑞鑫(1996—),男,重庆邮电大学硕士研究生,E-mail: 543586417@qq.com|李职杜(1990—),男,讲师,博士,E-mail: lizd@cqupt.edu.cn
基金资助:
国家自然科学基金(61771082);国家自然科学基金(61871062);国家自然科学基金(61901071);重庆市教委科学技术研究项目(KJQN202000626);重庆市教委科学技术研究项目(KJQN201800615);重庆市自然科学基金面上项目(cstc2019jcyj-msxmX0303);重庆市高校创新研究群体(CXQT20017);重庆市自然科学基金重点项目(cstc2020jcyj-zdxmX0024)

QoE-awarevideo transmission resource allocation strategy for V-CRAN

ZHANG Hong^1,^2,³(),HUANG Chuang^1,^2,³(),ZOU Hong^1,^2,³(),WANG Ruyan^1,^2,³(),XU Ruixin^1,^2,³(),LI Zhidu^1,^2,³()

1. School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
2. Advanced Network and Intelligent Connection Technology Key Laboratory of Chongqing Education Commission of China,Chongqing 400065,China
3. Chongqing Key Laboratory of Ubiquitous Sensing and Networking,Chongqing 400065,China

Received:2020-11-30 Revised:2021-11-24 Online:2022-06-20 Published:2022-07-04

摘要/Abstract

摘要：

在如今视频业务要求不断提高的发展趋势下,针对云无线接入网络传输中光域和无线域资源分配不平衡与用户体验质量差的问题,提出了一种在虚拟化云无线接入网中视频体验质量感知的传输资源分配策略。首先,根据不同用户的带宽需求,分别构建了光传输波长分配的前传带宽效率模型、波长调谐开销模型以及光网络间的负载均衡性评估模型,并提出了一种基于合并与分裂规则的光网络单元联盟形成算法,用于构建虚拟化云无线接入网。进一步地,对传输速率以及视频中断危险程度对用户体验质量的影响趋势进行了分析,并在保证资源总量不变的情况下,建立起用户和虚拟化云无线接入网两阶段的Stackelberg博弈,并证明了其纳什均衡解的存在与唯一性。最终,在提升用户体验质量的同时,优化了有限的无线资源分配以保证服务提供商的效用。大量的仿真结果表明,在不同用户数量以及负载率的场景下,所提策略在保证鲁棒性的前提下不仅满足了用户观看视频的体验质量,而且有效地提升了光域和无线域的资源利用率。

关键词: 虚拟化云无线接入网, 体验质量, 视频传输, 博弈, 资源分配

Abstract:

Under the development trend of increasing video service requirements,to solve the problem of unbalanced distribution of optical and wireless resources,and poor user experience quality in cloud wireless access network transmission,a transmission resource allocation strategy of video experience quality perception in the virtual cloud wireless access network is proposed.First,according to the bandwidth requirements of different users,the fronthaul bandwidth efficiency model for optical transmission wavelength assignment,the wavelength tuning overhead model,and load balance evaluation model between optical networks are constructed respectively.Based on the alliance game theory,an iterative algorithm for optical network unit alliance formation based on merging and splitting rules is proposed to construct the virtual cloud wireless access network.An optical network unit coalition formation algorithm based on the merge and split rule is proposed to construct a virtualized cloud radio access network.Furthermore,the influence trend of the transmission rate and video interruption risk on user experience quality is analyzed,with a two-stage Stackelberg game between users and virtual cloud wireless access network established.The existence and uniqueness of its Nash equilibrium solution are proved.Finally,while improving the quality of user experience,the limited wireless resource allocation is optimized to guarantee the utility of service providers.Extensive simulation results validate that in scenarios with different user numbers and load rates,the proposed strategy not only meets the experience quality of users watching video but also effectively improves the resource utilization in the optical and wireless domains.

Key words: virtualized cloud radio access network, quality of experience, video transmission, game, resource allocation

中图分类号:

TN92

张鸿,黄闯,邹虹,王汝言,徐瑞鑫,李职杜. QoE感知的V-CRAN视频传输资源分配策略[J]. 西安电子科技大学学报, 2022, 49(3): 48-58.

ZHANG Hong,HUANG Chuang,ZOU Hong,WANG Ruyan,XU Ruixin,LI Zhidu. QoE-awarevideo transmission resource allocation strategy for V-CRAN[J]. Journal of Xidian University, 2022, 49(3): 48-58.

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参数设定	参数数值
RRH/ONU数量	32
前传网络的波长数目	8
单波长传输容量/(Gbit·s^-1)	10
CPRI固定链路速率/(Gbit·s^-1)	2.5
CPRI链路压缩率范围	0.2~1.0
α,β,γ	0.5,0.35,0.15

QoE感知的V-CRAN视频传输资源分配策略

QoE-awarevideo transmission resource allocation strategy for V-CRAN

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