Energy-conserving access protocols for identification networks
IEEE/ACM Transactions on Networking (TON)
Performance of Computer Communication Systems: A Model-Based Approach
Performance of Computer Communication Systems: A Model-Based Approach
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Minimizing energy for wireless web access with bounded slowdown
Proceedings of the 8th annual international conference on Mobile computing and networking
Introduction to Probability Models, Ninth Edition
Introduction to Probability Models, Ninth Edition
Switching cost minimization in the IEEE 802.16e mobile WiMAX sleep mode operation
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Joint optimization of power saving mechanism in the IEEE 802.16e mobile WiMAX
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Improving energy saving in wireless systems by using dynamic power management
IEEE Transactions on Wireless Communications
Modeling UMTS discontinuous reception mechanism
IEEE Transactions on Wireless Communications
Capacity Improvement and Analysis for Voice/Data Traffic over WLANs
IEEE Transactions on Wireless Communications
Policy optimization for dynamic power management
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Joint optimization of power saving mechanism in the IEEE 802.16e mobile WiMAX
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Energy Efficient Networking with IEEE 802.16m Femtocell Low Duty Mode
Mobile Networks and Applications
Concurrency and Computation: Practice & Experience
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Energy efficiency in mobile devices remains a critical issue in the design of wireless communication system. In order to provide a high Quality of Service (QoS), the IEEE 802.16e-2005 standard supports three unique Power Saving Classes (PSCs) which aim to reduce the power consumption of mobile devices based on the different types of traffic. Our goal is to design an optimal sleep mode selection scheme so as to maximize the energy efficiency in a mobile WiMAX system while providing a certain QoS guarantee. In this paper, we propose a theoretical framework based on the semi-Markov Decision Process along with a performance evaluation on the sleep mode operation. Based on this model, we formulate a stochastic optimization problem and solve it through our novel Policy Optimization algorithm, which is capable of finding the optimal policy for the selection of different PSCs. The numerical and simulation results demonstrate the validity of our proposed scheme under different QoS requirements such as the packet delay and energy consumption level. We believe that our scheme has achieved a high energy efficiency and is best fit to the IEEE 802.16e mobile system.