Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey

Huda S. Goian, Omar Y. Al-Jarrah, Sami Muhaidat, Yousof Al-Hammadi, Paul Yoo, Mehrdad Dianati

Research output: Contribution to journalReview articlepeer-review

61 Scopus citations

Abstract

The proliferation of the mobile Internet and connected devices, which offer a variety of services at different levels of performance is a major challenge for the fifth generation of wireless networks and beyond. Innovative solutions are needed to leverage recent advances in machine storage/memory, context awareness, and edge computing. Cache-enabled networks and techniques such as edge caching are envisioned to reduce content delivery times and traffic congestion in wireless networks. Only a few contents are popular, accounting for the majority of viewers, so caching them reduces the latency and download time. However, given the dynamic nature of user behavior, the integration of popularity prediction into caching is of paramount importance to better network utilization and user satisfaction. In this paper, we first present an overview of caching in wireless networks and then provide a detailed comparison of traditional and popularity-based caching. We discuss the attributes of videos and the evaluation criteria of caching policies. We summarize some of the recent work on proactive caching, focusing on prediction strategies. Finally, we provide insight into the potential opportunities and challenges as well as some open research problems enable the realization of efficient deployment of popularity-based caching as part of the next-generation mobile networks.

Original languageBritish English
Article number8658196
Pages (from-to)27699-27719
Number of pages21
JournalIEEE Access
Volume7
DOIs
StatePublished - 2019

Keywords

  • 5G
  • cache-enabled networking
  • popularity prediction
  • proactive caching
  • videos popularity

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