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Unsupervised learning for C-RAN power control and power allocation

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dc.contributor.author Nikbakht, Rasoul
dc.contributor.author Jonsson, Anders, 1973-
dc.contributor.author Lozano Solsona, Angel
dc.date.accessioned 2021-05-13T09:14:25Z
dc.date.available 2021-05-13T09:14:25Z
dc.date.issued 2021
dc.identifier.citation Nikbakht R, Jonsson A, Lozano A. Unsupervised learning for C-RAN power control and power allocation. IEEE Commun Lett. 2021;25(3):687-91. DOI:10.1109/LCOMM.2020.3027991
dc.identifier.issn 1089-7798
dc.identifier.uri http://hdl.handle.net/10230/47547
dc.description.abstract This letter applies a feedforward neural network trained in an unsupervised fashion to the problem of optimizing the transmit powers in centralized radio access networks operating on a cell-free basis. Both uplink and downlink are considered. Various objectives are entertained, some leading to convex formulations and some that do not. In all cases, the performance of the proposed procedure is very satisfactory and, in terms of computational cost, the scalability is manifestly superior to that of convex solvers. Moreover, the optimization relies on directly measurable channel gains, with no need for user location information.
dc.description.sponsorship Work supported by the European Research Council under the H2020 Framework Programme/ERC grant 694974, by the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502), and by the ICREA Academia program. Parts of this paper were presented at the 2019 IEEE Int’l Symp. Personal, Indoor & Mobile Radio Communications and at the 2020 IEEE Int’l Conf. Communications.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof IEEE Communications Letters. 2021;25(3):687-91
dc.rights © 2021 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. http://dx.doi.org/10.1109/LCOMM.2020.3027991
dc.title Unsupervised learning for C-RAN power control and power allocation
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1109/LCOMM.2020.3027991
dc.subject.keyword Neural networks
dc.subject.keyword Unsupervised learning
dc.subject.keyword Cell-free networks
dc.subject.keyword Ultradense networks
dc.subject.keyword Power control
dc.subject.keyword Power allocation
dc.subject.keyword C-RAN
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/694974
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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