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Robust Energy Scheduling for Wireless Communication under Harvesting Uncertainty

並列摘要


In this study, we investigate the energy scheduling problem for wireless communication with energy harvesting devices. We consider wireless transmission systems equipped with energy harvesting devices, which can provide sustainable energy to substitute traditional battery. One of challenging in the system is to efficiently schedule energy consumption to maximize the utility and to adapt to the energy harvesting process. In general, it is difficult to obtain the accurate energy harvesting model parameters. On the other hand, model errors could considerably deteriorate the performances of traditional energy management approaches. We therefore consider robust energy scheduling schemes under the model uncertainty of the energy harvesting process. The problem is formulated as a robust Markov decision process and efficiently solved by robust dynamic programming. Extensive simulation results verify our proposed approaches.

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