无线VR业务在MEC网络中的联合缓存、视场和信道分配算法  

Joint cache,field of view and channel allocation algorithm of wireless VR service in MEC network

作　　者：陈雷[1] CHEN Lei(School of Public Security Information Technology and Intelligence,Criminal Investigation Police University of China,Shenyang 110854,China)

机构地区：[1]中国刑事警察学院公安信息技术与情报学院,辽宁沈阳110854

出　　处：《武汉大学学报（工学版）》2024年第11期1644-1651,1676,共9页Engineering Journal of Wuhan University

基　　金：辽宁省自然科学基金项目(编号:20180550046);辽宁省教育厅科学研究项目(编号:ZGXJ2020005);中国刑事警察学院重大培养项目(编号:D2023002);中国刑事警察学院校级项目(编号:D2022045);沈阳市社会治理科技专项项目(编号:22-322-3-35)。

摘　　要：为避免无线虚拟现实(virtual reality,VR)业务出现占用超高带宽和超高传输延迟的问题,基于人眼观察事物的特点,提出从360°视频中提取不同视场(field of view,FOV)进行传输。首先,提出一个360°VR视频制作框架;其次,分析基于移动边缘计算(mobile edge computing,MEC)的无线VR系统模型;再次,在传输时延受限的情况下提出系统效用函数最大化问题;最后,鉴于最优化问题是一种多变量耦合非凸问题,提出一个联合缓存分配、FOV分配和信道分配的算法,通过采用泰勒级数展开和逐次凸优化相结合的方法来对最优化问题进行求解。仿真结果表明,所提算法相较其他类似算法能获得更多系统收益。According to the characteristics of human eyes observing things,we propose to extract different fields of view(FOV)from 360°video for transmission to avoid the problem of ultra-high bandwidth and ultra-high transmission delay occupied by wireless virtual reality(VR)services.First,a 360°VR video production framework is proposed;Secondly,the wireless VR system model based on mobile edge computing(MEC)is analyzed.Thirdly,the problem of maximizing the system utility function is proposed under the limitation of transmission delay.Finally,because the optimization problem is a multi-variable coupled non-convex problem,a joint cache allocation,FOV allocation and channel allocation algorithm is proposed to solve the optimization problem by combining Taylor series expansion and successive convex optimization.Simulation results show that the proposed algorithm can get more system benefits than other similar algorithms.

关 键 词：移动边缘计算 无线虚拟现实 视场分配 缓存策略 

分 类 号：TN929.53[电子电信—通信与信息系统]