Analysis and Optimization of Service Delay for Multiquality Videos in Multitier Heterogeneous Network with Random Caching

Zhang, X; Lv, T; Ren, Y; Ni, W; Beaulieu, NC

Analysis and Optimization of Service Delay for Multiquality Videos in Multitier Heterogeneous Network with Random Caching

Zhang, X Lv, T Ren, Y Ni, W

Beaulieu, NC

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Systems Journal, 2021, 15, (2), pp. 2451-2462
Issue Date:: 2021-06-01

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Field	Value	Language
dc.contributor.author	Zhang, X
dc.contributor.author	Lv, T
dc.contributor.author	Ren, Y
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X
dc.contributor.author	Beaulieu, NC
dc.date.accessioned	2022-03-11T21:16:29Z
dc.date.available	2022-03-11T21:16:29Z
dc.date.issued	2021-06-01
dc.identifier.citation	IEEE Systems Journal, 2021, 15, (2), pp. 2451-2462
dc.identifier.issn	1932-8184
dc.identifier.issn	1937-9234
dc.identifier.uri	http://hdl.handle.net/10453/155154
dc.description.abstract	Aiming to minimize service delay, we propose a new random caching scheme in device-to-device (D2D) assisted heterogeneous network. To support diversified viewing qualities of multimedia video services, each video file is encoded into a base layer (BL) and multiple enhancement layers (ELs) by scalable video coding (SVC). A super layer, including the BL and several ELs, is transmitted to every user. We define and quantify the service delay of multiquality videos by deriving successful transmission probabilities when a user is served by a D2D helper, a small-cell base station (SBS), and a macrocell base station. We formulate a delay minimization problem subject to the limited cache sizes of D2D helpers and SBSs. The structure of the optimal solutions to the problem is revealed, and then an improved standard gradient projection method is designed to effectively obtain the solutions. Both theoretical analysis and Monte Carlo simulations validate the successful transmission probabilities. Compared with three benchmark caching policies, the proposed SVC-based random caching scheme is superior in terms of reducing the service delay.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Systems Journal
dc.relation.isbasedon	10.1109/JSYST.2020.3009157
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	Operations Research
dc.title	Analysis and Optimization of Service Delay for Multiquality Videos in Multitier Heterogeneous Network with Random Caching
dc.type	Journal Article
utslib.citation.volume	15
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-03-11T21:16:27Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	15
utslib.citation.issue	2

Abstract:

Aiming to minimize service delay, we propose a new random caching scheme in device-to-device (D2D) assisted heterogeneous network. To support diversified viewing qualities of multimedia video services, each video file is encoded into a base layer (BL) and multiple enhancement layers (ELs) by scalable video coding (SVC). A super layer, including the BL and several ELs, is transmitted to every user. We define and quantify the service delay of multiquality videos by deriving successful transmission probabilities when a user is served by a D2D helper, a small-cell base station (SBS), and a macrocell base station. We formulate a delay minimization problem subject to the limited cache sizes of D2D helpers and SBSs. The structure of the optimal solutions to the problem is revealed, and then an improved standard gradient projection method is designed to effectively obtain the solutions. Both theoretical analysis and Monte Carlo simulations validate the successful transmission probabilities. Compared with three benchmark caching policies, the proposed SVC-based random caching scheme is superior in terms of reducing the service delay.

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http://hdl.handle.net/10453/155154