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    A novel dynamic Q-learning-based scheduler technique for LTE-advanced technologies using neural networks

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    Authors
    Comşa, Ioan-Sorin
    Zhang, Sijing
    Aydin, Mehmet Emin
    Kuonen, Pierre
    Wagen, Jean–Frédéric
    Affiliation
    University of Bedfordshire
    Issue Date
    2012
    Subjects
    LTE-advanced
    q-learning
    neural networks
    
    Metadata
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    Abstract
    The tradeoff concept between system capacity and user fairness attracts a big interest in LTE-Advanced resource allocation strategies. By using static threshold values for throughput or fairness, regardless the network conditions, makes the scheduler to be inflexible when different tradeoff levels are required by the system. This paper proposes a novel dynamic neural Q-learning-based scheduling technique that achieves a flexible throughput-fairness tradeoff by offering optimal solutions according to the Channel Quality Indicator (CQI) for different classes of users. The Q-learning algorithm is used to adopt different policies of scheduling rules, at each Transmission Time Interval (TTI). The novel scheduling technique makes use of neural networks in order to estimate proper scheduling rules for different states which have not been explored yet. Simulation results indicate that the novel proposed method outperforms the existing scheduling techniques by maximizing the system throughput when different levels of fairness are required. Moreover, the system achieves a desired throughput-fairness tradeoff and an overall satisfaction for different classes of users.
    Citation
    Sorin Comsa, I., Sijing Zhang, Aydin, M., Kuonen, P., Wagen, J., (2012) 'A novel dynamic Q-learning-based scheduler technique for LTE-advanced technologies using neural networks,' Local Computer Networks (LCN), 2012 IEEE 37th Conference on: 332-335
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    URI
    http://hdl.handle.net/10547/272039
    DOI
    10.1109/LCN.2012.6423642
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6423642
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781467315654
    ae974a485f413a2113503eed53cd6c53
    10.1109/LCN.2012.6423642
    Scopus Count
    Collections
    Centre for Wireless Research (CWR)

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