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Caching scalable videos in the edge of wireless cellular networks

Caching scalable videos in the edge of wireless cellular networks
Caching scalable videos in the edge of wireless cellular networks
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.
Delays, Device-to-device communication, Static VAr compensators, Streaming media, Videos, Wireless communication, Wireless sensor networks
0890-8044
34-42
Zhang, Xuewei
b46da837-cb29-429a-943e-fd58b63a86f2
Ren, Yuan
6db62480-f03b-4c7c-b58c-1f89bef549cd
Lv, Tiejun
fb465673-1068-4cae-bb94-93ab1dd63f4d
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Xuewei
b46da837-cb29-429a-943e-fd58b63a86f2
Ren, Yuan
6db62480-f03b-4c7c-b58c-1f89bef549cd
Lv, Tiejun
fb465673-1068-4cae-bb94-93ab1dd63f4d
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Zhang, Xuewei, Ren, Yuan, Lv, Tiejun and Hanzo, Lajos (2022) Caching scalable videos in the edge of wireless cellular networks. IEEE Network, 34-42. (doi:10.1109/MNET.107.2100461).

Record type: Article

Abstract

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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lajos - Accepted Manuscript
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Caching_Scalable_Videos_in_the_Edge_of_Wireless_Cellular_Networks - Accepted Manuscript
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More information

Accepted/In Press date: 26 July 2022
e-pub ahead of print date: 1 August 2022
Keywords: Delays, Device-to-device communication, Static VAr compensators, Streaming media, Videos, Wireless communication, Wireless sensor networks

Identifiers

Local EPrints ID: 468886
URI: http://eprints.soton.ac.uk/id/eprint/468886
ISSN: 0890-8044
PURE UUID: dc108ab1-6f67-4a52-9576-1784486c58c4
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 31 Aug 2022 16:52
Last modified: 18 Mar 2024 02:36

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Contributors

Author: Xuewei Zhang
Author: Yuan Ren
Author: Tiejun Lv
Author: Lajos Hanzo ORCID iD

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