6533b861fe1ef96bd12c4ea3
RESEARCH PRODUCT
Greedy versus Dynamic Channel Aggregation Strategy in CRNs: Markov Models and Performance Evaluation
Lei JiaoFrank Y. LiVicent Plasubject
Mathematical optimizationMathematical modelComputer science020209 energycontinuous time Markov chain modelsAggregate (data warehouse)Cognitive radio networks020206 networking & telecommunications02 engineering and technologyMarkov modelchannel aggregation strategyperformance evaluationContinuous-time Markov chain[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Cognitive radio0202 electrical engineering electronic engineering information engineeringDynamic channel[INFO]Computer Science [cs]SimulationComputer Science::Information TheoryCommunication channeldescription
Part 1: - PE-CRN 2011 Workshop; International audience; 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2011-05-13 |