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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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https://hal.inria.fr/hal-01587855
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Submitted on : Thursday, September 14, 2017 - 4:48:30 PM
Last modification on : Monday, May 10, 2021 - 5:32:02 PM
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Lei Jiao, Frank Li, Vicent Pla. Greedy versus Dynamic Channel Aggregation Strategy in CRNs: Markov Models and Performance Evaluation. International IFIP TC 6 Workshops PE-CRN, NC-Pro, WCNS, and SUNSET 2011 Held at NETWORKING 2011 (NETWORKING), May 2011, Valencia, Spain. pp.22-31, ⟨10.1007/978-3-642-23041-7_3⟩. ⟨hal-01587855⟩

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