Optimal Energy-Efficient Beamforming Designs for Cloud-RANs With Rate-Dependent Fronthaul Power

DC FieldValueLanguage
dc.contributor.authorLuong, Phuong-
dc.contributor.authorGagnon, François-
dc.contributor.authorDespins, Charles-
dc.contributor.authorTran, Le-Nam-
dc.date.accessioned2020-09-15T15:03:21Z-
dc.date.available2020-09-15T15:03:21Z-
dc.date.copyright2019 IEEEen_US
dc.date.issued2019-07-
dc.identifier.citationIEEE Transactions on Communicationsen_US
dc.identifier.issn0090-6778-
dc.identifier.urihttp://hdl.handle.net/10197/11574-
dc.description.abstractWe study the downlink of a limited fronthaul capacity cloud-radio access networks (C-RANs). Three energy efficiency metrics, namely, global energy efficiency (GEE), weighted sum energy efficiency (WSEE), and energy efficiency fairness (EEF) are maximized by jointly designing transmit beamforming, remote radio head (RRH) selection, and RRH-user association. Furthermore, we incorporate a rate-dependent fronthaul power model, in which the fronthaul power consumption is proportional to the user sum rate. The formulated problems are difficult to solve. Our first contribution is to customize a branch and reduce and bound (BRB) method based on monotonic optimization to find globally optimal solutions for the three energy efficiency maximization problems. Subsequently, for a more practical approach, we propose a unified framework based on successive convex approximation (SCA) method that can be applied to all the considered problems. Our novelty lies in the equivalent transformations leading to more tractable problems that are amenable to the SCA. Specifically, appropriate continuous relaxation and convex approximation techniques are employed to arrive at a sequence of second-order cone programs (SOCPs) for which dedicated solvers are available. Then, a post-processing algorithm is devised to obtain a high-performance feasible solution from the continuous relaxation. The numerical results demonstrate that the proposed SCA-based algorithms converge rapidly and achieve near-optimal performance as well as outperform the known methods. They also highlight the importance of the rate dependent fronthaul power model in designing the energy efficient C-RANs.en_US
dc.description.sponsorshipScience Foundation Irelanden_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2019 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.subjectArray signal processingen_US
dc.subjectPower demanden_US
dc.subjectApproximation algorithmsen_US
dc.subjectResource managementen_US
dc.subjectNumerical modelsen_US
dc.subjectBase stationsen_US
dc.subjectIterative methodsen_US
dc.titleOptimal Energy-Efficient Beamforming Designs for Cloud-RANs With Rate-Dependent Fronthaul Poweren_US
dc.typeJournal Articleen_US
dc.statusPeer revieweden_US
dc.identifier.volume67en_US
dc.identifier.issue7en_US
dc.identifier.startpage5099en_US
dc.identifier.endpage5113en_US
dc.identifier.doi10.1109/TCOMM.2019.2906590-
dc.neeo.contributorLuong|Phuong|aut|-
dc.neeo.contributorGagnon|François|aut|-
dc.neeo.contributorDespins|Charles|aut|-
dc.neeo.contributorTran|Le-Nam|aut|-
dc.description.othersponsorshipNatural Sciences and Engineering Council of Canadaen_US
dc.identifier.grantid17/CDA/4786-
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Electrical and Electronic Engineering Research Collection
Files in This Item:
File Description SizeFormat 
GreenCRAN_Final2_v4.pdf613.25 kBAdobe PDFDownload
Show simple item record

Page view(s)

33
checked on Sep 20, 2020

Download(s)

10
checked on Sep 20, 2020

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.