Video Caching, Analytics and Delivery at the Wireless Edge: A Survey and Future Directions

Jedari, Behrouz, Premsankar, Gopika, Illahi, Gazi, Di Francesco, Mario, Mehrabidavoodabadi, Abbas and Yla-Jaaski, Antti (2021) Video Caching, Analytics and Delivery at the Wireless Edge: A Survey and Future Directions. IEEE Communications Surveys & Tutorials, 23 (1). pp. 431-471. ISSN 2373-745X

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Official URL: https://doi.org/10.1109/COMST.2020.3035427

Abstract

Future wireless networks will provide high bandwidth, low-latency, and ultra-reliable Internet connectivity to meet the requirements of different applications, ranging from mobile broadband to the Internet of Things. To this aim, mobile edge caching, computing, and communication (edge-C3) have emerged to bring network resources (i.e., bandwidth, storage, and computing) closer to end users. Edge-C3 allows improving the network resource utilization as well as the quality of experience (QoE) of end users. Recently, several video-oriented mobile applications (e.g., live content sharing, gaming, and augmented reality) have leveraged edge-C3 in diverse scenarios involving video streaming in both the downlink and the uplink. Hence, a large number of recent works have studied the implications of video analysis and streaming through edge-C3. This article presents an in-depth survey on video edge-C3 challenges and state-of-the-art solutions in next-generation wireless and mobile networks. Specifically, it includes: a tutorial on video streaming in mobile networks (e.g., video encoding and adaptive bitrate streaming); an overview of mobile network architectures, enabling technologies, and applications for video edge-C3; video edge computing and analytics in uplink scenarios (e.g., architectures, analytics, and applications); and video edge caching, computing and communication methods in downlink scenarios (e.g., collaborative, popularity-based, and context-aware). A new taxonomy for video edge-C3 is proposed and the major contributions of recent studies are first highlighted and then systematically compared. Finally, several open problems and key challenges for future research are outlined.

Item Type: Article
Uncontrolled Keywords: Wireless communications, 5G Networks, Internet of Things, Mobile Edge Computing, Edge Analytics, Video analytics, Caching, Task Offloading, V ideo Streaming, Quality of Experience
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 26 Nov 2020 11:36
Last Modified: 31 May 2021 14:41
URI: http://nrl.northumbria.ac.uk/id/eprint/44843

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