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- W2949613217 abstract "This paper considers a wireless link with randomly arriving data that is queued and served over a time-varying channel. It is known that any algorithm that comes within $epsilon$ of the minimum average power required for queue stability must incur average queue size at least $Omega(log(1/epsilon))$. However, the optimal convergence time is unknown, and prior algorithms give convergence time bounds of $O(1/epsilon^2)$. This paper develops a scheduling algorithm that, for any $epsilon>0$, achieves the optimal $O(log(1/epsilon))$ average queue size tradeoff with an improved convergence time of $O(log(1/epsilon)/epsilon)$. This is shown to be within a logarithmic factor of the best possible convergence time. The method uses the simple drift-plus-penalty technique with an improved convergence time analysis." @default.
- W2949613217 created "2019-06-27" @default.
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- W2949613217 date "2014-11-18" @default.
- W2949613217 modified "2023-09-27" @default.
- W2949613217 title "Energy-Aware Wireless Scheduling with Near Optimal Backlog and Convergence Time Tradeoffs" @default.
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