Vacation Queueing Models: Theory and Applications (International Series in Operations Research & Management Science)
The power saving mechanism with binary exponential traffic indications in the IEEE 802.16e/m
Queueing Systems: Theory and Applications
Performance evaluation for the power saving class type III with a sleep-delay in IEEE 802.16e
Proceedings of the 4th International Conference on Queueing Theory and Network Applications
A phase-type based Markov chain model for IEEE 802.16e sleep mode and its performance analysis
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
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In order to improve the efficiency of the power saving mechanism and to save more resources in WiMAX, and also to consider the property of self-similar traffic shown widely in the networks with multimedia transmission, we present a new method to analyze the performance of an enhanced power saving class type III in IEEE 802.16 with self-similar traffics. According to the operating principle of the sleep mode in the enhanced power saving class type III, considering the self-similar nature of massive multimedia packets in wireless mobile networks, a discrete-time batch arrival multiple vacation queueing model with vacation-delay is built. The batch size is supposed to be Pareto distributed. The boundary state variable theory for the batch arrival vacation queueing model is presented, and then the queueing measures such as queueing length, waiting time and busy cycle in steady state are given. Moreover, we derive explicitly the performance measures in terms of the handover ratio, the energy saving ratio, the system utility and the average response time of packets. Finally, numerical results are given to demonstrate the influence of the system parameters on the system performance with different offered loads and different degrees of self-similar traffics. This paper provides a theoretical basis for the optimal design of the power saving mechanism in the IEEE 802.16, and has potential applications for solving other energy conservation related problems in wireless mobile networks.