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      Counterexamples on the monotonicity of delay optimal strategies for energy harvesting transmitters

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          Abstract

          We consider cross-layer design of delay optimal transmission strategies for energy harvesting transmitters where the data and energy arrival processes are stochastic. Using Markov decision theory, we show that the value function is weakly increasing in the queue state and weakly decreasing in the battery state. It is natural to expect that the delay optimal policy should be weakly increasing in the queue and battery states. We show via counterexamples that this is not the case. In fact, the delay optimal policy may perform 8-17% better than the best monotone policy.

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          Optimal Packet Scheduling in an Energy Harvesting Communication System

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            Optimum Transmission Policies for Battery Limited Energy Harvesting Nodes

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              Transmission with Energy Harvesting Nodes in Fading Wireless Channels: Optimal Policies

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                Author and article information

                Journal
                08 October 2019
                Article
                1910.03556
                9f7efd39-0de0-4a06-8c07-26a5a2966f5b

                http://creativecommons.org/licenses/by/4.0/

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                Custom metadata
                5 pages, 4 figures
                cs.IT math.IT

                Numerical methods,Information systems & theory
                Numerical methods, Information systems & theory

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