Intelligent cache and buffer optimization for mobile VR adaptive transmission in 5G edge computing networks  

作　　者：Junchao Yang Ali Kashif Bashir Zhiwei Guo Keping Yu Mohsen Guizani 

机构地区：[1]Chongqing Key Laboratory of Intelligent Perception and BlockChain Technology,School of Artificial Intelligence,Chongqing Technology and Business University,Chongqing,400067,China [2]Department of Computing and Mathematics,Manchester Metropolitan University,UK [3]Woxsen School of Business,Woxsen University,Hyderabad 502345,India [4]Department of Computer Science and Mathematics,Lebanese American University,Beirut,Lebanon [5]Graduate School of Science and Engineering,Hosei University,Tokyo,184-8584,Japan [6]Machine Learning Department,Mohamed Bin Zayed University of Artificial Intelligence(MBZUAI),United Arab Emirates

出　　处：《Digital Communications and Networks》2024年第5期1234-1244,共11页数字通信与网络(英文版)

基　　金：supported in part by the Chongqing Municipal Education Commission projects under Grant No.KJCX2020035,KJQN202200829;Chongqing Science and Technology Commission projects under grant No.CSTB2022BSXM-JCX0117 and cstc2020jcyjmsxmX0339;supported in part by National Natural Science Foundation of China under Grant No.(62171072,62172064,62003067,61901067);supported in part by Chongqing Technology and Business University projects under Grant no.(2156004,212017).

摘　　要：Virtual Reality(VR)is a key industry for the development of the digital economy in the future.Mobile VR has advantages in terms of mobility,lightweight and cost-effectiveness,which has gradually become the mainstream implementation of VR.In this paper,a mobile VR video adaptive transmission mechanism based on intelligent caching and hierarchical buffering strategy in Mobile Edge Computing(MEC)-equipped 5G networks is proposed,aiming at the low latency requirements of mobile VR services and flexible buffer management for VR video adaptive transmission.To support VR content proactive caching and intelligent buffer management,users’behavioral similarity and head movement trajectory are jointly used for viewpoint prediction.The tile-based content is proactively cached in the MEC nodes based on the popularity of the VR content.Second,a hierarchical buffer-based adaptive update algorithm is presented,which jointly considers bandwidth,buffer,and predicted viewpoint status to update the tile chunk in client buffer.Then,according to the decomposition of the problem,the buffer update problem is modeled as an optimization problem,and the corresponding solution algorithms are presented.Finally,the simulation results show that the adaptive caching algorithm based on 5G intelligent edge and hierarchical buffer strategy can improve the user experience in the case of bandwidth fluctuations,and the proposed viewpoint prediction method can significantly improve the accuracy of viewpoint prediction by 15%.

关 键 词：Virtual reality Adaptive transmission Edge cache Buffer management 5G Mobile edge computing 

分 类 号：TN9[电子电信—信息与通信工程]