Joint Content Push and Transmission in NOMA with SWIPT Caching Helper

Zhang, X; Lv, T; Ren, Y; Lin, Z

Joint Content Push and Transmission in NOMA with SWIPT Caching Helper

Zhang, X Lv, T Ren, Y Lin, Z

Permalink

Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Communications Letters, 2020, 24, (4), pp. 922-925
Issue Date:: 2020-04-01

Closed Access

	Filename	Description	Size
	08834809 (1).pdf	Published version	3.35 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Zhang, X
dc.contributor.author	Lv, T
dc.contributor.author	Ren, Y
dc.contributor.author	Lin, Z https://orcid.org/0000-0001-5941-2163
dc.date.accessioned	2021-02-24T20:03:16Z
dc.date.available	2021-02-24T20:03:16Z
dc.date.issued	2020-04-01
dc.identifier.citation	IEEE Communications Letters, 2020, 24, (4), pp. 922-925
dc.identifier.issn	1089-7798
dc.identifier.issn	1558-2558
dc.identifier.uri	http://hdl.handle.net/10453/146407
dc.description.abstract	© 1997-2012 IEEE. This letter investigates the joint content push and transmission design relying on the cache-enabled helper. The helper is also equipped with the function of simultaneous wireless information and power transfer. With the help of non-orthogonal multiple access (NOMA) technique, we propose a two-stage transmission scheme. Under the minimum quality of service requirements, the sum rate optimization problem is formulated. Owing to the non-convexity nature of this problem, a series of approximation techniques, such as semi-definite relaxation, successive convex approximation and arithmetic-geometric mean inequality, are employed, after which the original optimization problem is converted into the convex form. Simulation results manifest the fast convergence property of the proposed algorithm, and demonstrate the superiority of the NOMA-based two-stage transmission strategy compared with a benchmark scheme.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Communications Letters
dc.relation.isbasedon	10.1109/LCOMM.2020.2967376
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.title	Joint Content Push and Transmission in NOMA with SWIPT Caching Helper
dc.type	Journal Article
utslib.citation.volume	24
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2021-02-24T20:03:14Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	24
utslib.citation.issue	4

Abstract:

© 1997-2012 IEEE. This letter investigates the joint content push and transmission design relying on the cache-enabled helper. The helper is also equipped with the function of simultaneous wireless information and power transfer. With the help of non-orthogonal multiple access (NOMA) technique, we propose a two-stage transmission scheme. Under the minimum quality of service requirements, the sum rate optimization problem is formulated. Owing to the non-convexity nature of this problem, a series of approximation techniques, such as semi-definite relaxation, successive convex approximation and arithmetic-geometric mean inequality, are employed, after which the original optimization problem is converted into the convex form. Simulation results manifest the fast convergence property of the proposed algorithm, and demonstrate the superiority of the NOMA-based two-stage transmission strategy compared with a benchmark scheme.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/146407