Greedy versus Dynamic Channel Aggregation Strategy in CRNs: Markov Models and Performance Evaluation

Abstract : In cognitive radio networks, channel aggregation techniques which aggregate several channels together as one channel have been proposed in many MAC protocols. In this paper, we consider elastic data traffic and spectrum adaptation for channel aggregation, and propose two new strategies named as Greedy and Dynamic respectively. The performance of channel aggregation represented by these strategies is evaluated using continuous time Markov chain models. Moreover, simulation results based on various traffic distributions are utilized in order to evaluate the validity and preciseness of the mathematical models.
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Communication dans un congrès
Vicente Casares-Giner; Pietro Manzoni; Ana Pont. International IFIP TC 6 Workshops PE-CRN, NC-Pro, WCNS, and SUNSET 2011 Held at NETWORKING 2011 (NETWORKING), May 2011, Valencia, Spain. Springer, Lecture Notes in Computer Science, LNCS-6827, pp.22-31, 2011, NETWORKING 2011 Workshops. 〈10.1007/978-3-642-23041-7_3〉
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Soumis le : jeudi 14 septembre 2017 - 16:48:30
Dernière modification le : vendredi 13 avril 2018 - 19:56:04
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Lei Jiao, Frank Li, Vicent Pla. Greedy versus Dynamic Channel Aggregation Strategy in CRNs: Markov Models and Performance Evaluation. Vicente Casares-Giner; Pietro Manzoni; Ana Pont. International IFIP TC 6 Workshops PE-CRN, NC-Pro, WCNS, and SUNSET 2011 Held at NETWORKING 2011 (NETWORKING), May 2011, Valencia, Spain. Springer, Lecture Notes in Computer Science, LNCS-6827, pp.22-31, 2011, NETWORKING 2011 Workshops. 〈10.1007/978-3-642-23041-7_3〉. 〈hal-01587855〉

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