4.7 Article

Caching Scalable Videos in the Edge of Wireless Cellular Networks

Journal

IEEE NETWORK
Volume -, Issue -, Pages -

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MNET.107.2100461

Keywords

Videos; Wireless communication; Static VAr compensators; Delays; Streaming media; Device-to-device communication; Wireless sensor networks

Funding

  1. National Natural Science Foundation of China [62101442, 61801382, 62071377, 62271068, 62001264]
  2. Natural Science Foundation of Shaanxi Province [2021JQ-705, 2023-JC-YB-514]
  3. Young Talent fund of University Association for Science and Technology in Shaanxi, China [20210115]
  4. Engineering and Physical Sciences Research Council [EP/W016605/1, EP/P003990/1]
  5. European Research Council's Advanced Fellow Grant QuantCom [789028]

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This article discusses the integration of wireless edge caching with scalable video coding to meet the diverse viewing quality requirements of multimedia users. The article introduces different types of cached contents and corresponding transmission schemes, summarizes the criteria for making caching decisions, and validates the effectiveness of the proposed random caching scheme through a case study and simulation results.
By pre-fetching popular videos into the local caches of edge nodes, wireless edge caching provides an effective means of reducing repeated content deliveries. To meet the various viewing quality requirements of multimedia users, scalable video coding (SVC) is integrated with edge caching, where the constituent layers of scalable videos are flexibly cached and transmitted to users. In this article, we discuss the challenges arising from the different content popularity and various viewing requirements of scalable videos, and present the diverse types of cached contents as well as the corresponding transmission schemes. We provide an overview of the existing caching schemes, and summarize the criteria of making caching decisions. A case study is then presented, where the transmission delay is quantified and used as the performance metric. Simulation results confirm that giving cognizance to the realistic requirements of end users is capable of significantly reducing the content transmission delay, compared to the existing caching schemes operating without SVC. The results also verify that the transmission delay of the proposed random caching scheme is lower than that of the caching scheme which only provides local caching gain.

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