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Analysis and Optimization of Sleeping Mode in WiMAX via Stochastic Decomposition Techniques

Abstract : The paper establishes a general approach for analyzing queueing models with repeated inhomogeneous vacations. The server goes on for a vacation if the inactivity prolongs more than the vacation trigger duration. Once the system enters in vacation mode, it may continue for several consecutive vacations, possibly with a {\em different} probability distribution. We study a simple $M/G/1$ queue, which has the advantage of being tractable analytically. The theoretical model is applied to the problem of power saving for mobile devices in which the sleep durations of a device correspond to the server vacations. Various system performance metrics such as the frame response time and the economy of energy are derived. A constrained optimization problem is formulated to maximize the economy of energy in power save mode with QoS constraints. An illustration of the proposed methods is shown with a WiMAX system scenario to obtain design parameters for better performance. Our analysis allows us not only to optimize the system parameters for a given traffic intensity but also to propose parameters that provide the best performance under worst case conditions.
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Contributor : Sara Alouf Connect in order to contact the contributor
Submitted on : Tuesday, January 24, 2017 - 5:07:52 PM
Last modification on : Wednesday, February 2, 2022 - 3:55:45 PM
Long-term archiving on: : Tuesday, April 25, 2017 - 5:35:58 PM


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Amar Prakash Azad, Sara Alouf, Eitan Altman. Analysis and Optimization of Sleeping Mode in WiMAX via Stochastic Decomposition Techniques. IEEE Journal on Selected Areas in Communications, 2011, 29 (8), pp.1630 - 1640. ⟨10.1109/JSAC.2011.110912⟩. ⟨hal-01445314⟩



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