Optimal Joint Remote Radio Head Selection and Beamforming Design for Limited Fronthaul C-RAN

DC FieldValueLanguage
dc.contributor.authorLuong, Phuong-
dc.contributor.authorGagnon, François-
dc.contributor.authorDespins, Charles-
dc.contributor.authorTran, Le-Nam-
dc.date.accessioned2019-05-07T14:20:56Z-
dc.date.available2019-05-07T14:20:56Z-
dc.date.copyright2017 IEEEen_US
dc.date.issued2017-08-11-
dc.identifier.citationIEEE Transactions on Signal Processingen_US
dc.identifier.issn1053-587X-
dc.identifier.urihttp://hdl.handle.net/10197/10325-
dc.description.abstractThis paper considers the downlink transmission of cloud-radio access networks (C-RANs) with limited fronthaul capacity. We formulate a joint design of remote radio head (RRH) selection, RRH-user association, and transmit beamforming for simultaneously optimizing the achievable sum rate and total power consumption, using the multiobjective optimization concept. Due to the nonconvexity of perfronthaul capacity constraints and introduced binary selection variables, the formulated problem lends itself to a mixed-integer nonconvex program, which is generally non-deterministic polynomial-time hard. Motivated by powerful computing capability of C-RAN and for benchmarking purposes, we propose a branch and reduce and bound-based algorithm to attain a globally optimal solution. For more practically appealing approaches, we then propose three iterative low-complexity algorithms. In the first method, we iteratively approximate the continuous nonconvex constraints by convex conic ones using successive convex approximation framework. More explicitly, the problem obtained at each iteration is a mixed-integer second-order cone program (MI-SOCP) for which dedicated solvers are available. In the second method, we first relax the binary variables to be continuous to arrive at a sequence of SOCPs and then perform a postprocessing procedure on the relaxed variables to search for a high-performance solution. In the third method, we solve the considered problem in view of sparsity-inducing regularization. Numerical results show that our proposed algorithms converge rapidly and achieve near-optimal performance as well as outperform the known algorithms.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2017 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.subjectBase station selectionen_US
dc.subjectBeamformingen_US
dc.subjectCloud radio access networksen_US
dc.subjectLimited fronthaulen_US
dc.subjectMixed integer second order cone programmingen_US
dc.subjectOptimizationen_US
dc.titleOptimal Joint Remote Radio Head Selection and Beamforming Design for Limited Fronthaul C-RANen_US
dc.typeJournal Articleen_US
dc.internal.authorcontactothernam.tran@ucd.ieen_US
dc.statusPeer revieweden_US
dc.identifier.volume65en_US
dc.identifier.issue21en_US
dc.identifier.startpage5605en_US
dc.identifier.endpage5620en_US
dc.identifier.doi10.1109/tsp.2017.2739102-
dc.neeo.contributorLuong|Phuong|aut|-
dc.neeo.contributorGagnon|François|aut|-
dc.neeo.contributorDespins|Charles|aut|-
dc.neeo.contributorTran|Le-Nam|aut|-
dc.date.updated2019-01-25T12:54:06Z-
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Electrical and Electronic Engineering Research Collection
Files in This Item:
File Description SizeFormat 
Phuong_TSP_CRAN_FINAL_VERSION.pdf3.47 MBAdobe PDFDownload
Show simple item record

SCOPUSTM   
Citations 20

15
Last Week
0
Last month
checked on Jun 17, 2019

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.