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Article Dans Une Revue Transactions on emerging telecommunications technologies Année : 2017

Maximal flow-level stability of best-rate schedulers in heterogeneous wireless systems

Résumé

We investigate flow‐level stability of schedulers in parallel‐service wireless systems, which is important for maximizing the base station's capacity to serve the heterogeneous flows that are within the base station's power range. We model such a system as a multi‐class queueing system with multiple preemptive servers, in which flows of different classes randomly arrive and depart once their flow is completed. The channel condition of a flow varies randomly over time because of fading and mobility. The evolution of the channel condition is assumed to be Markovian and class dependent. We focus on a general family of the best‐rate schedulers that, whenever possible, serve flows that are in the channel condition corresponding to the highest achievable class‐dependent transmission rate (i.e. the best rate). We prove under mild assumptions that any best‐rate scheduler achieves maximal stability, that is, stabilizes the system whenever possible, in all systems with generally distributed class‐dependent arrivals and flow sizes. Copyright © 2015 John Wiley & Sons, Ltd.
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Dates et versions

hal-03109243 , version 1 (13-01-2021)

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Peter Jacko, Evsey Morozov, Lyubov Potakhina, Ina Maria Maaike Verloop. Maximal flow-level stability of best-rate schedulers in heterogeneous wireless systems. Transactions on emerging telecommunications technologies, 2017, 28, pp.1-15. ⟨10.1002/ett.2930⟩. ⟨hal-03109243⟩
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