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- W2151094371 abstract "A major problem in wireless networks is coping with limited resources, such as bandwidth and energy. These issues become a major algorithmic challenge in view of the dynamic nature of the wireless domain. We consider in this paper the single-transmitter power assignment problem under time-varying channels, with the objective of maximizing the data throughput. It is assumed that the transmitter has a limited power budget, to be sequentially divided during the lifetime of the battery. We deviate from the classic work in this area, which leads to explicit water-filling solutions, by considering a realistic scenario where the channel state quality changes arbitrarily from one transmission to the other. The problem is accordingly tackled within the framework of competitive analysis, which allows for worst case performance guarantees in setups with arbitrarily varying channel conditions. We address both a discrete case, where the transmitter can transmit only at a fixed power level, and a continuous case, where the transmitter can choose any power level out of a bounded interval. For both cases, we propose online power-allocation algorithms with proven worst-case performance bounds. In addition, we establish lower bounds on the worst-case performance of any online algorithm, and show that our proposed algorithms are optimal." @default.
- W2151094371 created "2016-06-24" @default.
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- W2151094371 date "2009-04-01" @default.
- W2151094371 modified "2023-09-25" @default.
- W2151094371 title "Dynamic Power Allocation Under Arbitrary Varying Channels - An Online Approach" @default.
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- W2151094371 doi "https://doi.org/10.1109/infcom.2009.5061916" @default.
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