干将大讲堂(二十)——Design and Analysis of MEC- and Proactive Caching-based 360°Mobile VR Video Streaming
时间: 2021-12-07 发布者: 文章来源: bat365在线官网登录入口 审核人: 浏览次数: 1115

时间:2021年12月8日19:30

腾讯会议:(会议ID)213-833-413

摘要:

Recently, 360-degree mobile virtual reality video (MVRV) has become increasingly popular because it can provide users with an immersive experience. However, MVRV is usually recorded in a high resolution and is sensitive to latency, which indicates that broadband, ultra-reliable, and low-latency communication is necessary to guarantee the users’ quality of experience. In this talk, we present our design of a mobile edge computing (MEC)-based 360-degree MVRV streaming scheme with field-of-view (FoV) prediction, which jointly considers video coding, proactive caching, computation offloading, and data transmission. To meet the requirement of stringent end-to-end (E2E) latency, the user’s viewpoint prediction is utilized to cache video data proactively, and computing tasks are partially offloaded to the MEC server. In addition, we propose an analytical model based on diffusion process to study the packet transmission process of 360-degree MVRV in multihop wired/wireless networks and analyze the performance of the MEC-enabled scheme. Simulation results verify the accuracy of the analysis and the effectiveness of the proposed MVRV streaming scheme in reducing the E2E delay. Furthermore, the analytical framework sheds some light on the impacts of system parameters, e.g., FoV prediction accuracy and transmission rate, on the balance between computation delay and communication delay.

单杭冠简介


浙江大学信息与电子工程学院士副教授,博士生导师,IEEE Senior Member。浙江大学竺可桢学院通信工程学士,复旦大学电路与系统博士学位。博士毕业后在滑铁卢大学从事博士后研究。2011 年起进浙江大学信息与通信网络工程研究所工作。作为负责人承担国家自然科学基金2 项,国家科技重大专项子课题、工信部工业互联网创新发展工程项目课题、教育部博士点基金、浙江省自然科学面上项目、浙江省公益技术应用研究计划项目各1 项。担任IMT-2020(5G)推进组MEC 测试床专家和国家自然科学基金通信评审专家。在IEEE、通信学报等国内外通信领域顶级期刊发表学术论文近60 篇,被国内外学者引用2400 余次,获批国家发明专利20 项。作为共同作者获得IEEE WCNC 2011 国际会议 The Best Industry Paper Award。2016 年至2020 年担任IEEE Transactions on Green Communications and Networking编委。曾多次担任IEEE Vehicle Technology Conference 国际会议Machine Learning and AI for Communications、IoT, M2M, Sensor Networks, and Ad-Hoc Networking、Green Communications and Networks 和Future Trends and Emerging Technologies 等Track 的Leading Co-Chair 或Co-Chair。作为技术委员会成员服务IEEE Globecom、ICC、WCNC、PIMRC、VTC 等大量国际会议。目前主要从事与5G/B5G 移动通信相关的网络设计和用户服务质量保障等方向的研究。

 

主办单位:

江苏省网络空间安全工程实验室

江苏省计算机信息处理技术重点实验室

苏州大学bat365在线官网登录入口

苏州市人工智能学会

机器学习与类脑计算国际合作实验室