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    Multi objective resource scheduling in LTE networks using reinforcement learning

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    Authors
    Comşa, Ioan-Sorin
    Aydin, Mehmet Emin
    Zhang, Sijing
    Kuonen, Pierre
    Wagen, Jean–Frédéric
    Issue Date
    2012
    
    Metadata
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    Abstract
    The use of the intelligent packet scheduling process is absolutely necessary in order to make the radio resources usage more efficient in recent high-bit-rate demanding radio access technologies such as Long Term Evolution (LTE). Packet scheduling procedure works with various dispatching rules with different behaviors. In the literature, the scheduling disciplines are applied for the entire transmission sessions and the scheduler performance strongly depends on the exploited discipline. The method proposed in this paper aims to discuss how a straightforward schedule can be provided within the transmission time interval (TTI) sub-frame using a mixture of dispatching disciplines per TTI instead of a single rule adopted across the whole transmission.
    Citation
    Comşa, I.S., Aydin, M.E., Zhang, S., Kuonen, P., Wagen, J.F. (2012) 'Multi Objective Resource Scheduling in LTE Networks Using Reinforcement Learning' International Journal of Distributed Systems and Technologies 3 (2):39 - 57
    Publisher
    IGI Global
    Journal
    International Journal of Distributed Systems and Technologies
    URI
    http://hdl.handle.net/10547/250918
    DOI
    10.4018/jdst.2012040103
    Additional Links
    http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdst.2012040103
    Type
    Article
    Language
    en
    ISSN
    1947-3532
    1947-3540
    ae974a485f413a2113503eed53cd6c53
    10.4018/jdst.2012040103
    Scopus Count
    Collections
    Centre for Wireless Research (CWR)

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