2010 Seventh International Conference on Information Technology: New Generations 2010
DOI: 10.1109/itng.2010.174
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Guarantee QoS in WiMAX Networks Using Learning Automata

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Cited by 2 publications
(3 citation statements)
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“…For accurate performance evaluation, we adopt the WiMAX physical layer standard OFDM_BPSK_1_2 in our simulations. [24] The fairness of the scheduling algorithms under bursty traffic is shown in figure 9. As we can see, WRR always maintains almost high fairness, while the fairness of EDF algorithm is the worst among the four algorithms.…”
Section: Discussionmentioning
confidence: 99%
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“…For accurate performance evaluation, we adopt the WiMAX physical layer standard OFDM_BPSK_1_2 in our simulations. [24] The fairness of the scheduling algorithms under bursty traffic is shown in figure 9. As we can see, WRR always maintains almost high fairness, while the fairness of EDF algorithm is the worst among the four algorithms.…”
Section: Discussionmentioning
confidence: 99%
“…The aim is to use different scheduling policies depending on which queues are not meeting their delay requirements. The state of the system represented by a set of N -1 binary variables {s1: sn-1}, where each variable si indicates whether traffic in the corresponding queue i q [24].…”
Section: Reinforcement Learningmentioning
confidence: 99%
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