Coordinated Scheduling and Power Control in Cloud-Radio Access Networks

Handle URI:
http://hdl.handle.net/10754/593193
Title:
Coordinated Scheduling and Power Control in Cloud-Radio Access Networks
Authors:
Douik, Ahmed; Dahrouj, Hayssam; Al-Naffouri, Tareq Y.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
This paper addresses the joint coordinated scheduling and power control problem in cloud-enabled networks. Consider the downlink of a cloud-radio access network (CRAN), where the cloud is only responsible for the scheduling policy, power control, and synchronization of the transmit frames across the single-antenna base-stations (BS). The transmit frame consists of several time/frequency blocks, called power-zones (PZ). The paper considers the problem of scheduling users to PZs and determining their power levels (PL), by maximizing the weighted sum-rate under the practical constraints that each user cannot be served by more than one base-station, but can be served by one or more power-zones within each base-station frame. The paper solves the problem using a graph theoretical approach by introducing the joint scheduling and power control graph formed by several clusters, where each is formed by a set of vertices, representing the possible association of users, BSs, and PLs for one specific PZ. The problem is, then, formulated as a maximumweight clique problem, in which the weight of each vertex is the sum of the benefits of the individual associations belonging to that vertex. Simulation results suggest that the proposed crosslayer scheme provides appreciable performance improvement as compared to schemes from recent literature.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Coordinated Scheduling and Power Control in Cloud-Radio Access Networks 2015:1 IEEE Transactions on Wireless Communications
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Wireless Communications
Issue Date:
1-Dec-2015
DOI:
10.1109/TWC.2015.2504524
Type:
Article
ISSN:
1536-1276
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7342981
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorDouik, Ahmeden
dc.contributor.authorDahrouj, Hayssamen
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2016-01-11T13:17:17Zen
dc.date.available2016-01-11T13:17:17Zen
dc.date.issued2015-12-01en
dc.identifier.citationCoordinated Scheduling and Power Control in Cloud-Radio Access Networks 2015:1 IEEE Transactions on Wireless Communicationsen
dc.identifier.issn1536-1276en
dc.identifier.doi10.1109/TWC.2015.2504524en
dc.identifier.urihttp://hdl.handle.net/10754/593193en
dc.description.abstractThis paper addresses the joint coordinated scheduling and power control problem in cloud-enabled networks. Consider the downlink of a cloud-radio access network (CRAN), where the cloud is only responsible for the scheduling policy, power control, and synchronization of the transmit frames across the single-antenna base-stations (BS). The transmit frame consists of several time/frequency blocks, called power-zones (PZ). The paper considers the problem of scheduling users to PZs and determining their power levels (PL), by maximizing the weighted sum-rate under the practical constraints that each user cannot be served by more than one base-station, but can be served by one or more power-zones within each base-station frame. The paper solves the problem using a graph theoretical approach by introducing the joint scheduling and power control graph formed by several clusters, where each is formed by a set of vertices, representing the possible association of users, BSs, and PLs for one specific PZ. The problem is, then, formulated as a maximumweight clique problem, in which the weight of each vertex is the sum of the benefits of the individual associations belonging to that vertex. Simulation results suggest that the proposed crosslayer scheme provides appreciable performance improvement as compared to schemes from recent literature.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7342981en
dc.rights(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.en
dc.subjectCoordinated schedulingen
dc.subjectjoint scheduling and power control graphen
dc.subjectmaximum-weight cliqueen
dc.subjectpower controlen
dc.titleCoordinated Scheduling and Power Control in Cloud-Radio Access Networksen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalIEEE Transactions on Wireless Communicationsen
dc.eprint.versionPost-printen
dc.contributor.institutionDepartment of Electrical Engineering, California Institute of Technology, Pasadena, CA 91125 USAen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, Effat University, Jeddah 22332, Saudi Arabiaen
dc.contributor.institutionKing Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabiaen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorAl-Naffouri, Tareq Y.en
kaust.authorAlouini, Mohamed-Slimen
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