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    Flexible proportional-rate scheduling for OFDMA system

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    Type
    Article
    Authors
    Leith, Alex
    Alouini, Mohamed-Slim cc
    Kim, Dongin
    (Sherman) Shen X., Xuemin
    Wu, Zhiqiang
    KAUST Department
    Electrical Engineering Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Communication Theory Lab
    Date
    2013-10
    Permanent link to this record
    http://hdl.handle.net/10754/563018
    
    Metadata
    Show full item record
    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.
    Citation
    Leith, A., Alouini, M.-S., Kim, D. I., Shen, X., & Wu, Z. (2013). Flexible Proportional-Rate Scheduling for OFDMA System. IEEE Transactions on Mobile Computing, 12(10), 1907–1919. doi:10.1109/tmc.2012.155
    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.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Mobile Computing
    DOI
    10.1109/TMC.2012.155
    ae974a485f413a2113503eed53cd6c53
    10.1109/TMC.2012.155
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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