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- W3113415156 abstract "For the design of energy-efficient or green communication systems and networks, power adaptation has been studied extensively in the literature. A vital aspect of the same is to minimize the usage of resources wherever possible. This research implements a Source Transmit Power Adaptation Policy (STPAP) for a two hop collaborative wireless communication system. Our objective is to optimize end-to-end fading averaged-energy efficiency (FA-EE) when the source is subject to an average source power constraint. Specifically, we derive an analytical expression for FA-EE in terms of source power, which is adapted as a function of fading channels' state information (CSI). We compare optimal FA-EE results with CSI-independent, fixed source power FA-EE and verify through Monte-Carlo (MC) simulations and analytical results. We find that the proposed STPAP delivers superior performance in terms of FA-EE. We further extend our benchmarking to a scenario where a direct link between source and destination is absent. We also compare optimal FA-EE with fixed power FA-EE and quantify the proposed policy's performance gains." @default.
- W3113415156 created "2021-01-05" @default.
- W3113415156 creator A5009171721 @default.
- W3113415156 creator A5033484388 @default.
- W3113415156 date "2020-11-16" @default.
- W3113415156 modified "2023-09-25" @default.
- W3113415156 title "STPAP: Source Transmit Power Adaptation Policy for Collaborative Wireless Systems" @default.
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- W3113415156 doi "https://doi.org/10.1109/tencon50793.2020.9293885" @default.
- W3113415156 hasPublicationYear "2020" @default.
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