DocumentCode :
3254393
Title :
Performance analysis of an admission control enhancement in WIMAX networks using SAN
Author :
Mokdad, Lynda ; Ben-othman, Jalel
Author_Institution :
Lab. CNRS-Lamsade, Univ. of Paris-Dauphine, Tassigny
fYear :
2008
fDate :
14-17 Oct. 2008
Firstpage :
674
Lastpage :
679
Abstract :
WiMAX (worldwide interpretability for microwave access) is one of the leader standards of broadband wireless access (BWA). This standard becomes a competitor of 4G or LTE (long term evolution) with the introduction of different class of service flow (UGS, rtPS, nrtPS, BE). Each service class has its own QoS requirements. Even if the standard specify the transmission policy of each service class, it recommends the implementation of an admission control (AC) without any specification. As the standard does not define any specifications for the AC, then this task is left for the operator. In this paper, we propose an implementation of an AC algorithm mechanism for IEEE 802.16. The performance evaluation of these networks by analytical models is not easy due to the state space explosion, thus we use the stochastic automata networks (SAN) formalism to model our proposed AC mechanism. With SAN we calculate the rewards of the proposed AC and we show that the proposed solution is efficient.
Keywords :
WiMax; broadband networks; computer network performance evaluation; quality of service; stochastic automata; BE; IEEE 802.16; UGS; WIMAX networks; admission control enhancement; broadband wireless access; microwave access; nrtPS; performance evaluation; quality of service requirements; service flow; stochastic automata networks; transmission policy; worldwide interpretability; Admission control; Analytical models; Automata; Explosions; Long Term Evolution; Performance analysis; State-space methods; Stochastic processes; Storage area networks; WiMAX; Admission control; IEEE 802.16; Markov chain; QoS; Stochastic Automata Networks (SAN); WiMAX;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Local Computer Networks, 2008. LCN 2008. 33rd IEEE Conference on
Conference_Location :
Montreal, Que
Print_ISBN :
978-1-4244-2412-2
Electronic_ISBN :
978-1-4244-2413-9
Type :
conf
DOI :
10.1109/LCN.2008.4664264
Filename :
4664264
Link To Document :
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