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

Behrouz Jedari, Gopika Premsankar, Gazi Illahi, Mario Di Francesco , Abbas Mehrabidavoodabadi, Antti Ylä-Jääski

Research output: Contribution to journalArticlepeer-review

94 Citations (Scopus)
108 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)431-471
Number of pages42
JournalIEEE Communications Surveys and Tutorials
Volume23
Issue number1
Early online date9 Nov 2020
DOIs
Publication statusPublished - 1 Jan 2021

Keywords

  • Wireless communications
  • 5G Networks
  • Internet of Things
  • Mobile Edge Computing
  • Edge Analytics
  • Video analytics
  • Task Offloading
  • Video Streaming
  • Quality of Experience

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