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dc.contributor.authorAhmad, Alaa Alameer
dc.contributor.authorReifert, Robert-Jeron
dc.contributor.authorDahrouj, Hayssam
dc.contributor.authorChaaban, Anas
dc.contributor.authorSezgin, Aydin
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2021-04-14T06:09:53Z
dc.date.available2021-04-14T06:09:53Z
dc.date.issued2021-04-08
dc.identifier.urihttp://hdl.handle.net/10754/668731
dc.description.abstractIn the scope of beyond fifth generation (B5G) networks and the massive increase of data-hungry systems, the need of extending conventional single-cloud radio access networks (C-RAN) arises. A compound of several clouds, jointly managing inter-cloud and intra-cloud interference, constitutes a practical solution to cope with requirements of B5G networks. This paper considers a multi-cloud radio access network model (MC-RAN) where each cloud is connected to a distinct set of base stations (BSs) via limited capacity fronthaul links. The BSs are equipped with local cache storage and base-band processing capabilities, as a means to alleviate the fronthaul congestion problem. The paper then investigates the problem of jointly assigning users to clouds and determining their beamforming vectors so as to maximize the network-wide energy efficiency (EE) subject to fronthaul capacity, and transmit power constraints. This paper solves such a mixed discrete-continuous, non-convex optimization problem using fractional programming (FP) and successive inner-convex approximation (SICA) techniques to deal with the non-convexity of the continuous part of the problem, and $l_0$-norm approximation to account for the binary association part. A highlight of the proposed algorithm is its capability of being implemented in a distributed fashion across the network multiple clouds through a reasonable amount of information exchange. The numerical simulations illustrate the pronounced role the proposed algorithm plays in alleviating the interference of large-scale MC-RANs, especially in dense networks.
dc.publisherarXiv
dc.relation.urlhttps://arxiv.org/pdf/2104.03664.pdf
dc.rightsArchived with thanks to arXiv
dc.titleDistributed Resource Management in Downlink Cache-enabled Multi-cloud Radio Access Networks
dc.typePreprint
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.eprint.versionPre-print
dc.contributor.institutionDigital Communication Systems, Ruhr-Universitat Bochum, Bochum, Germany.
dc.contributor.institutionSchool of Engineering, The University of British Columbia, Kelowna, Canada.
dc.identifier.arxivid2104.03664
kaust.personDahrouj, Hayssam
kaust.personAl-Naffouri, Tareq Y.
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2021-04-14T06:10:52Z


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