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SLEEP MODE SELECTION EMPLOYING A SEMI-MARKOV DECISION PROCESS

机译:采用半马尔可夫决策过程的睡眠模式选择

摘要

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.
机译:所公开的主题涉及与无线通信环境相关联的移动设备中的能量效率。省电等级(PSC)旨在根据不同的流量类型降低移动设备的功耗。通过基于半马尔可夫决策过程的理论框架的优化以及对睡眠模式操作的性能评估,可以实现优化睡眠模式选择方案,从而在提供QoS保证的同时最大化能源效率。一种新颖的策略优化算法能够找到用于选择不同PSC的优化策略。

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