Abstract
IEEE 802.16 defines three types of power saving classes for supporting the sleep mode operations on mobile stations using different types of traffic. While related work has developed analytical models to evaluate the performance of the power saving operations in IEEE 802.16 networks, most of these endeavors are limited to the Poisson traffic model and hence their capability is limited in capturing the characteristics of the sleep mode operation under realistic traffic distributions. In this paper, we propose an analytic model for capturing the behaviors of IEEE 802.16 sleep mode operations under the type I power saving class with arbitrary traffic distribution, including the Pareto and 4IPP traffic models. We compare the proposed model against existing work, and explain how such a general model allows a better investigation of the impact of different traffic models on optimal performance of IEEE 802.16 power saving operations.
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