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    Scheduling policies based on dynamic throughput and fairness tradeoff control in LTE-A networks

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    Authors
    Comşa, Ioan-Sorin
    Aydin, Mehmet Emin
    Zhang, Sijing
    Kuonen, Pierre
    Wagen, Jean–Frédéric
    Lu, Yao
    Affiliation
    University of Bedfordshire
    University of Applied Sciences of Western Switzerland
    Issue Date
    2014-10-16
    Subjects
    scheduling rule
    RL
    CQI
    TTI
    MDP
    LTE-A
    MLPNN
    CACLA
    fairness
    throughput
    policy
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    Abstract
    In LTE-A cellular networks there is a fundamental trade-off between the cell throughput and fairness levels for preselected users which are sharing the same amount of resources at one transmission time interval (TTI). The static parameterization of the Generalized Proportional Fair (GPF) scheduling rule is not able to maintain a satisfactory level of fairness at each TTI when a very dynamic radio environment is considered. The novelty of the current paper aims to find the optimal policy of GPF parameters in order to respect the fairness criterion. From sustainability reasons, the multi-layer perceptron neural network (MLPNN) is used to map at each TTI the continuous and multidimensional scheduler state into a desired GPF parameter. The MLPNN non-linear function is trained TTI-by-TTI based on the interaction between LTE scheduler and the proposed intelligent controller. The interaction is modeled by using the reinforcement learning (RL) principle in which the LTE scheduler behavior is modeled based on the Markov Decision Process (MDP) property. The continuous actor-critic learning automata (CACLA) RL algorithm is proposed to select at each TTI the continuous and optimal GPF parameter for a given MDP problem. The results indicate that CACLA enhances the convergence speed to the optimal fairness condition when compared with other existing methods by minimizing in the same time the number of TTIs when the scheduler is declared unfair.
    Citation
    Comşa I, Aydin M, Zhang S, Kuonen P, Wagen J, Lu Y (2014) 'Scheduling policies based on dynamic throughput and fairness tradeoff control in LTE-A networks', 39th Annual IEEE Conference on Local Computer Networks - Edmonton, IEEE Computer Society.
    Publisher
    IEEE Computer Society
    URI
    http://hdl.handle.net/10547/624327
    DOI
    10.1109/LCN.2014.6925806
    Additional Links
    https://ieeexplore.ieee.org/document/6925806
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781479937806
    ae974a485f413a2113503eed53cd6c53
    10.1109/LCN.2014.6925806
    Scopus Count
    Collections
    Computing

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