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Performance Evaluation of Scalable Congestion Control Schemes for Elastic Traffic in Cellular Networks with Power Control

Bartlomiej Blaszczyszyn 1 Mohamed Karray 2
1 TREC - Theory of networks and communications
DI-ENS - Département d'informatique - ENS Paris, Inria Paris-Rocquencourt
Abstract : This paper deals with the performance evaluation of some congestion control schemes for elastic traffic in wireless cellular networks with power allocation/control. These schemes allow us to identify the {\em feasible configurations of instantaneous} up- and downlink {\em bit-rates} of users; i.e., such that {\em can be obtained by allocating respective powers}, taking into account in an exact way the interference created in the whole, multicellular network. We consider the bit-rate configurations identified by these schemes as {\em feasible sets for some classical, maximal fair resource allocation policies}, and study their performance in the long-term evolution of the system. Specifically, we assume Markovian arrivals, departures and mobility of customers, which transmit some given data-volumes, as well as some temporal channel variability (fading), and study the {\em mean throughput} i.e., the mean bit-rates that the policies offer in different parts of a given cell. Explicit formulas are obtained in the case of {\em proportional fair policies}, which may or may-not take advantage of the fading, for {\em null} or {\em infinitely rapid customer mobility}. This approach applies also to a channel shared by the elastic traffic and a strea ing, with predefined customer bit-rates,regulated by the respective admission policy.
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Submitted on : Friday, December 22, 2006 - 10:56:12 AM
Last modification on : Thursday, March 17, 2022 - 10:08:29 AM
Long-term archiving on: : Monday, September 20, 2010 - 6:13:05 PM

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Bartlomiej Blaszczyszyn, Mohamed Karray. Performance Evaluation of Scalable Congestion Control Schemes for Elastic Traffic in Cellular Networks with Power Control. [Research Report] RR-6077, INRIA. 2006. ⟨inria-00121767v2⟩

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