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In this paper, the authors analyze the fundamental power-delay tradeoff in point-to-point wireless communication systems with renewable energy source. They consider the Max Queue-Weighted (MWQ) algorithm, where the transmitter determines the rate and power control actions based on the instantaneous Channel State Information (CSI), the Data Queue State Information (DQSI) and Renewable Energy Storage Information (RESI). They exploit a general fluid dynamics of the data queue and renewable energy storage buffer using continuous time dynamic equations. Using the sample-path approach and renewal theory, they decompose the average delay in terms of multiple unfinished works along a sample path, and obtain bounds for the average delay and AC power consumption under the MWQ algorithm, which are asymptotically tight at small delay regime.
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