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

Abstract

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

CLC Number:

TN92

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.

Figures/Tables 7

References 27

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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-awarevideo transmission resource allocation strategy for V-CRAN

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