2016 39th International Conference on Telecommunications and Signal Processing (TSP) 2016
DOI: 10.1109/tsp.2016.7760846
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Performance analysis of the dynamic switch system based on user activity in cognitive radio network

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Cited by 2 publications
(2 citation statements)
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“…switch Overbooking_Policy To sum up, Algorithm 1 shows the dynamic switch system depends on off-peak and peak hours based on the TL. In off-peak hours, No-ObPolicy functionality is applied [11]. In the proposed method, MNO charges ARSUs in reasonable way via (t ) in comparison with the previous pricing policy.…”
Section: Iofcr Pricing Policiesmentioning
confidence: 99%
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“…switch Overbooking_Policy To sum up, Algorithm 1 shows the dynamic switch system depends on off-peak and peak hours based on the TL. In off-peak hours, No-ObPolicy functionality is applied [11]. In the proposed method, MNO charges ARSUs in reasonable way via (t ) in comparison with the previous pricing policy.…”
Section: Iofcr Pricing Policiesmentioning
confidence: 99%
“…The proposed pricing policy is implemented in our previous framework, Instant overbooking framework for CRN (IOFCR) [10]. The main part of this work is providing optimal spectrum allocation via providing high RSUs QSL and balance the total revenue (TR) in both off-peak and peak hours based on dynamic switch system in the long term [11].…”
Section: Introductionmentioning
confidence: 99%