Flexible proportional-rate scheduling for OFDMA system

Handle URI:
http://hdl.handle.net/10754/563018
Title:
Flexible proportional-rate scheduling for OFDMA system
Authors:
Leith, Alex; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Kim, Dongin; (Sherman) Shen X., Xuemin; Wu, Zhiqiang
Abstract:
In this paper, we study the sum-rate maximization algorithms for downlink and uplink orthogonal frequency division multiple access (OFDMA) systems under proportional-rate constraint (PRC) and minimum-rate constraint. We develop a low-complexity weighted channel signal-to-noise ratio (w-SNR)-based ranking scheme for user selection on each subchannel in OFDMA combined with waterfilling (WF) power allocation. Both offline and online optimization algorithms are developed to optimize the SNR weight vector to maximize the sum rate while satisfying several constraints, such as PRC. The offline weight optimization technique relies on the analytical throughput results developed in this paper, and the online weight adaptation method tracks the user rates and meets the PRC using a subgradient search. Furthermore, we introduce a novel SNR operating region test to enhance the multiuser diversity gain and the sum rate. The proposed schemes have a low complexity, which is linear to the numbers of users and subchannels. Simulation results verify the accuracy of the developed analytical rates and fairness formulas, and show that the proposed w-SNR schemes can achieve higher sum rates than several benchmark schemes that provide the PRC with either short-term or long-term fairness. © 2013 IEEE. © 2013 ESO.
KAUST Department:
Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Mobile Computing
Issue Date:
Oct-2013
DOI:
10.1109/TMC.2012.155
Type:
Article
ISSN:
15361233
Sponsors:
This paper was presented in part at the IEEE ICC Conference, Beijing, China, 2008, and in part at the IEEE GlobeCom Conference, Hawaii, 2009. This work was supported in part by Qatar National Research Fund (QNRF) (a member of Qatar Foundation); in part by the Ministry of Knowledge Economy (MKE), Korea, under the ITRC support program supervised by the NIPA (NIPA-2011-(C1090-1111-0005)); and in part by the US National Science Foundation under Grant No. 0708469, No. 0737297, No. 0837677, the Wright Center for Sensor System Engineering.
Appears in Collections:
Articles; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorLeith, Alexen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorKim, Donginen
dc.contributor.author(Sherman) Shen X., Xueminen
dc.contributor.authorWu, Zhiqiangen
dc.date.accessioned2015-08-03T11:33:49Zen
dc.date.available2015-08-03T11:33:49Zen
dc.date.issued2013-10en
dc.identifier.issn15361233en
dc.identifier.doi10.1109/TMC.2012.155en
dc.identifier.urihttp://hdl.handle.net/10754/563018en
dc.description.abstractIn this paper, we study the sum-rate maximization algorithms for downlink and uplink orthogonal frequency division multiple access (OFDMA) systems under proportional-rate constraint (PRC) and minimum-rate constraint. We develop a low-complexity weighted channel signal-to-noise ratio (w-SNR)-based ranking scheme for user selection on each subchannel in OFDMA combined with waterfilling (WF) power allocation. Both offline and online optimization algorithms are developed to optimize the SNR weight vector to maximize the sum rate while satisfying several constraints, such as PRC. The offline weight optimization technique relies on the analytical throughput results developed in this paper, and the online weight adaptation method tracks the user rates and meets the PRC using a subgradient search. Furthermore, we introduce a novel SNR operating region test to enhance the multiuser diversity gain and the sum rate. The proposed schemes have a low complexity, which is linear to the numbers of users and subchannels. Simulation results verify the accuracy of the developed analytical rates and fairness formulas, and show that the proposed w-SNR schemes can achieve higher sum rates than several benchmark schemes that provide the PRC with either short-term or long-term fairness. © 2013 IEEE. © 2013 ESO.en
dc.description.sponsorshipThis paper was presented in part at the IEEE ICC Conference, Beijing, China, 2008, and in part at the IEEE GlobeCom Conference, Hawaii, 2009. This work was supported in part by Qatar National Research Fund (QNRF) (a member of Qatar Foundation); in part by the Ministry of Knowledge Economy (MKE), Korea, under the ITRC support program supervised by the NIPA (NIPA-2011-(C1090-1111-0005)); and in part by the US National Science Foundation under Grant No. 0708469, No. 0737297, No. 0837677, the Wright Center for Sensor System Engineering.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectadmission controlen
dc.subjectmultiuser diversityen
dc.subjectOFDMAen
dc.subjectproportional rate constraint (PRC)en
dc.subjectthroughput maximizationen
dc.titleFlexible proportional-rate scheduling for OFDMA systemen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalIEEE Transactions on Mobile Computingen
dc.contributor.institutionElectrical Engineering Department, Iowa State University, Ames, IA 50011, United Statesen
dc.contributor.institutionSchool of Information and Communication Engineering, Sungkyunkwan University, Suwon 440-746, South Koreaen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canadaen
dc.contributor.institutionElectrical Engineering Department, Wright State University, Dayton, OH 45435, United Statesen
kaust.authorAlouini, Mohamed-Slimen
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