Nonsmooth Optimization Algorithms for Multicast Beamforming in Content-Centric Fog Radio Access Networks

Nguyen, HT; Tuan, HD; Duong, TQ; Poor, HV; Hwang, WJ

Nonsmooth Optimization Algorithms for Multicast Beamforming in Content-Centric Fog Radio Access Networks

Nguyen, HT Tuan, HD Duong, TQ Poor, HV Hwang, WJ

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Signal Processing, 2020, 68, pp. 1455-1469
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Nguyen, HT
dc.contributor.author	Tuan, HD
dc.contributor.author	Duong, TQ
dc.contributor.author	Poor, HV
dc.contributor.author	Hwang, WJ
dc.date.accessioned	2021-03-19T06:40:04Z
dc.date.available	2021-03-19T06:40:04Z
dc.date.issued	2020-01-01
dc.identifier.citation	IEEE Transactions on Signal Processing, 2020, 68, pp. 1455-1469
dc.identifier.issn	1053-587X
dc.identifier.issn	1941-0476
dc.identifier.uri	http://hdl.handle.net/10453/147384
dc.description.abstract	© 1991-2012 IEEE. This paper considers a content-centric fog radio access network (F-RAN). Its multi-antenna remote radio heads (RRHs) are capable of caching and executing signal processing for content delivery to its users. The fronthaul traffic is thus saved since its baseband processing unit (BBU) needs to transfer only the cache-missed content items to the RRHs via limited-capacity fronthaul links. The problem of beamforming design maximizing the energy efficiency in content delivery subject to the quality-of-content-service constraints in terms of content throughput and fronthaul limited-capacity is addressed. Unlike the user's throughput in user-centric networks, the content throughput in content-centric networks is no longer a differentiable function of the beamforming vectors. The problem is inherently high-dimensional due to the involvement of many beamforming vectors even in simple cases of three RRHs serving three users. Path-following algorithms, which invoke a simple convex quadratic optimization problem to generate a better feasible point, are proposed for computation of this nonsmooth and high-dimensional optimization problem. We also employ generalized zero-forcing beamforming, which forces the multi-content interference to zero or nearly to zero to reduce the problem dimensionality for computational efficiency. Numerical results are provided to demonstrate their computational effectiveness. They also reveal that when the fronthaul traffic becomes more flexible, hard-transfer fronthauling is more energy efficient than soft-transfer fronthauling.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation	http://purl.org/au-research/grants/arc/DP190102501
dc.relation.ispartof	IEEE Transactions on Signal Processing
dc.relation.isbasedon	10.1109/TSP.2020.2964250
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.classification	Networking & Telecommunications
dc.title	Nonsmooth Optimization Algorithms for Multicast Beamforming in Content-Centric Fog Radio Access Networks
dc.type	Journal Article
utslib.citation.volume	68
utslib.for	0805 Distributed Computing
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	2021-03-19T06:40:03Z
pubs.publication-status	Published
pubs.volume	68

Abstract:

© 1991-2012 IEEE. This paper considers a content-centric fog radio access network (F-RAN). Its multi-antenna remote radio heads (RRHs) are capable of caching and executing signal processing for content delivery to its users. The fronthaul traffic is thus saved since its baseband processing unit (BBU) needs to transfer only the cache-missed content items to the RRHs via limited-capacity fronthaul links. The problem of beamforming design maximizing the energy efficiency in content delivery subject to the quality-of-content-service constraints in terms of content throughput and fronthaul limited-capacity is addressed. Unlike the user's throughput in user-centric networks, the content throughput in content-centric networks is no longer a differentiable function of the beamforming vectors. The problem is inherently high-dimensional due to the involvement of many beamforming vectors even in simple cases of three RRHs serving three users. Path-following algorithms, which invoke a simple convex quadratic optimization problem to generate a better feasible point, are proposed for computation of this nonsmooth and high-dimensional optimization problem. We also employ generalized zero-forcing beamforming, which forces the multi-content interference to zero or nearly to zero to reduce the problem dimensionality for computational efficiency. Numerical results are provided to demonstrate their computational effectiveness. They also reveal that when the fronthaul traffic becomes more flexible, hard-transfer fronthauling is more energy efficient than soft-transfer fronthauling.

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http://hdl.handle.net/10453/147384