Sleep mode selection employing a semi-markov decision process
AssigneeThe Hong Kong University of Science and Technology
InventorsLei Kong, Ka Wai Wong, Danny Hin Kwok Tsang
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Abstract
The disclosed subject matter relates to energy efficiency in mobile devices associated with a wireless communications environment. Power Saving Classes (PSCs) aim to reduce the power consumption of mobile devices based on the different types of traffic. Optimizing sleep mode selection schemes so as to maximize the energy efficiency while providing a QoS guarantee can be accomplished with optimization of a theoretical framework based on the semi-Markov Decision Process along with a performance evaluation on the sleep mode operation. A novel Policy Optimization algorithm is capable of finding optimized policies for a selection of different PSCs.
Claims20
A system that facilitates access to one or more sleep mode selection policies, comprising:
- a semi-Markov decision process (MDP) component configured to access at least one wireless system parameter and determine the one or more sleep mode selection policies based on an MDP model.
A method, comprising:
- accessing at least one wireless system parameter;
- determining at least one optimized sleep mode selection policy;
- and
- facilitating access to the at least one optimized sleep mode selection policy.
A method of optimizing sleep mode operation for a mobile subscriber station (MSS) in a wireless communications system, comprising:
- modeling sleep mode operation of the MSS as a semi-Markov decision process (MDP) to facilitate computing performance evaluations of wireless power saving classes associated with the MSS and the wireless communications system;
- modeling at least a cost function for at least a sleep mode behavior of the MSS;
- and
- selecting at least an optimized sleep mode selection policy from a set of sleep mode selection policies for the MSS based at least in part on minimizing power consumption of the MSS.
An article of manufacture including a computer-readable medium having instructions stored thereon that, in response to execution by a computing device, cause the computing device to perform a method, comprising:
- modeling a sleep mode of a mobile subscriber station (MSS) as a semi-Markov decision process (MDP) to facilitate evaluations of wireless power saving classes associated with the MSS and the wireless communications system;
- modeling at least a cost function of the sleep mode;
- and
- selecting at least an optimized sleep mode selection policy from a set of sleep mode selection policies for the MSS based at least in part on minimizing power consumption of the MSS.
Dependencies are inferred from the claim text.