Abstract
Next-generation wireless systems are expected to support an ever increasing number of wireless connections with better quality-of-service (QoS), e.g., higher data rate and smaller delay [1, 2]. As a result, energy consumption, as well as energy cost, and greenhouse gas emission are increased, which pose challenges in the design of wireless systems. One promising method to tackle this issue is energy harvesting (EH), where wireless nodes have the capability to harvest energy from the renewable sources (e.g., solar, and thermoelectric, etc.) of the surrounding environment, and store the harvested energy in batteries to carry out their functions. In this chapter, we explore power allocation problems for such EH systems to support delay-sensitive communications.
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Le-Ngoc, T., Phan, K.T. (2017). Power Allocation with Energy Harvesting Over Fading Channel Under Statistical Delay Constraints. In: Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-57693-0_4
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DOI: https://doi.org/10.1007/978-3-319-57693-0_4
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