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- W2005003657 abstract "Many data applications in the next generation cellular networks, such as content precaching and video progressive downloading, require flow-level quality of service (QoS) guarantees. One such requirement is deadline, where the transmission task needs to be completed before the application-specific time. To minimize the number of uncompleted transmission tasks, we study laxity-based scheduling policies in this paper. We propose a Less-Laxity-Higher-Possible-Rate (L <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> HPR) policy and prove its asymptotic optimality in underloaded identical-deadline systems. The asymptotic optimality of L <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> HPR can be applied to estimate the schedulability of a system and provide insights on the design of scheduling policies for general systems. Based on it, we propose a framework and three heuristic policies for practical systems. Simulation results demonstrate the asymptotic optimality of L <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> HPR and performance improvement of proposed policies over greedy policies." @default.
- W2005003657 created "2016-06-24" @default.
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- W2005003657 date "2013-04-01" @default.
- W2005003657 modified "2023-10-16" @default.
- W2005003657 title "Laxity-based opportunistic scheduling with flow-level dynamics and deadlines" @default.
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- W2005003657 doi "https://doi.org/10.1109/wcnc.2013.6554567" @default.
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