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dc.contributor.authorAhmad, Alaa Alameer
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.accessioned2020-07-28T11:51:03Z
dc.date.available2020-07-28T11:51:03Z
dc.date.issued2020-07-21
dc.identifier.citationAhmad, A. A., Dahrouj, H., Chaaban, A., Sezgin, A., Al-Naffouri, T. Y., & Alouini, M.-S. (2020). Distributed Cloud Association and Beamforming in Downlink Multi-Cloud Radio Access Networks. 2020 IEEE International Conference on Communications Workshops (ICC Workshops). doi:10.1109/iccworkshops49005.2020.9145380
dc.identifier.isbn978-1-7281-7441-9
dc.identifier.issn2474-9133
dc.identifier.doi10.1109/ICCWorkshops49005.2020.9145380
dc.identifier.urihttp://hdl.handle.net/10754/664466
dc.description.abstractConventional cloud-radio access networks assume the existence of a single processor, responsible for managing a plurality of devices. To cope with the current drastic increase in the number of data-hungry systems, several clouds would be practically needed, and so the joint provisioning of inter-cloud and intra-cloud interference becomes a fundamental challenge. 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 paper investigates the problem of jointly assigning users to clouds and determining their beamforming vectors so as to maximize the network-wide sum-rate utility. The paper solves such a difficult non-convex combinatorial problem using a heuristic algorithm which uses fractional programming techniques to deal with the non-convexity of the continuous part of the problem, and 10-norm approximation to account for the binary association part. A highlight of the proposed algorithm is its ability to be implemented in a distributed fashion across the multiple clouds. The simulations illustrate how close is the sum-rate performance of the proposed approach as compared to the sum-rate achieved by a centralized single processor, especially in dense networks.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9145380/
dc.relation.urlhttps://ieeexplore.ieee.org/document/9145380/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9145380
dc.rightsArchived with thanks to IEEE
dc.titleDistributed Cloud Association and Beamforming in Downlink Multi-Cloud Radio Access Networks
dc.typeConference Paper
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.conference.date7-11 June 2020
dc.conference.name2020 IEEE International Conference on Communications Workshops (ICC Workshops)
dc.conference.locationDublin, Ireland
dc.eprint.versionPost-print
dc.contributor.institutionInstitute of Digital Communication Systems, Ruhr-Universität Bochum, Germany
dc.contributor.institutionDepartment of Electrical and Computer Engineering, Effat University, Saudi Arabia
dc.contributor.institutionSchool of Engineering, The University of British Columbia, Kelowna, Canada
kaust.personAl-Naffouri, Tareq Y.
kaust.personAlouini, Mohamed-Slim
dc.date.published-online2020-07-21
dc.date.published-print2020-06


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