On the queue-overflow probabilities of distributed scheduling algorithms

In this paper, we are interested in using large-deviations theory to characterize the asymptotic decay-rate of the queue-overflow probability for distributed wireless scheduling algorithms, as the overflow threshold approaches infinity. We consider ad-hoc wireless networks where each link interferes...

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Published inProceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference pp. 4820 - 4825
Main Authors Can Zhao, Xiaojun Lin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2009
Subjects
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ISBN9781424438716
1424438713
ISSN0191-2216
DOI10.1109/CDC.2009.5399662

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Abstract In this paper, we are interested in using large-deviations theory to characterize the asymptotic decay-rate of the queue-overflow probability for distributed wireless scheduling algorithms, as the overflow threshold approaches infinity. We consider ad-hoc wireless networks where each link interferes with a given set of other links, and we focus on a distributed scheduling algorithm called Q-SCHED, which is introduced by Gupta et al. First, we derive a lower bound on the asymptotic decay rate of the queue-overflow probability for Q-SCHED. We then present an upper bound on the decay rate for all possible algorithms operating on the same network. Finally, using these bounds, we are able to conclude that, subject to a given constraint on the asymptotic decay rate of the queue-overflow probability, Q-SCHED can support a provable fraction of the offered loads achievable by any algorithms.
AbstractList In this paper, we are interested in using large-deviations theory to characterize the asymptotic decay-rate of the queue-overflow probability for distributed wireless scheduling algorithms, as the overflow threshold approaches infinity. We consider ad-hoc wireless networks where each link interferes with a given set of other links, and we focus on a distributed scheduling algorithm called Q-SCHED, which is introduced by Gupta et al. First, we derive a lower bound on the asymptotic decay rate of the queue-overflow probability for Q-SCHED. We then present an upper bound on the decay rate for all possible algorithms operating on the same network. Finally, using these bounds, we are able to conclude that, subject to a given constraint on the asymptotic decay rate of the queue-overflow probability, Q-SCHED can support a provable fraction of the offered loads achievable by any algorithms.
Author Can Zhao
Xiaojun Lin
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  organization: Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
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Snippet In this paper, we are interested in using large-deviations theory to characterize the asymptotic decay-rate of the queue-overflow probability for distributed...
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StartPage 4820
SubjectTerms Algorithm design and analysis
Delay
H infinity control
Probability
Queueing analysis
Scheduling algorithm
Stability criteria
Statistics
Streaming media
Wireless networks
Title On the queue-overflow probabilities of distributed scheduling algorithms
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