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

Research output: Contribution to journalArticleScientificpeer-review

73 Citations (Scopus)
125 Downloads (Pure)


Future wireless networks will provide high-bandwidth, low-latency, and ultra-reliable Internet connectivity to meet the requirements of different applications, ranging from virtual reality to the Internet of Things. To this aim, 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 improves 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 bit-rate 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
Article number9252131
Pages (from-to)431-471
Number of pages41
JournalIEEE Communications Surveys and Tutorials
Issue number1
Early online date2020
Publication statusPublished - 1 Jan 2021
MoE publication typeA1 Journal article-refereed


Dive into the research topics of 'Video Caching, Analytics and Delivery at the Wireless Edge: A Survey and Future Directions'. Together they form a unique fingerprint.

Cite this