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Delay analysis for cognitive radio networks supporting heterogeneous traffic.

, , and . SECON, page 215-223. IEEE, (2011)

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CRAVE: Cognitive radio enabled vehicular communications in heterogeneous networks., , , and . RWS, page 190-192. IEEE, (2013)Experimental approach: two-stage spectrum sensing using gnu radio and usrp to detect primary user's signal., , , and . SAC, page 2165-2170. ACM, (2016)Enhanced AODV: Detection and Avoidance of Black Hole Attack in Smart Meter Network., , , , and . ICCCN, page 1-6. IEEE, (2017)Security and Threats of Intelligent Reflecting Surface Assisted Wireless Communications., , , , and . ICCCN, page 1-9. IEEE, (2022)A new interference model for the IEEE 802.22 cognitive WRAN., , and . ICCCN, page 1-8. IEEE, (2014)High-Order Hidden Bivariate Markov Model: A Novel Approach on Spectrum Prediction., , , and . ICCCN, page 1-7. IEEE, (2016)A Nonlinear Recursive Model Based Optimal Transmission Scheduling in RF Energy Harvesting Wireless Communications., , , , and . IEEE Trans. Wirel. Commun., 19 (5): 3449-3462 (2020)Performance analysis of spectrum sensing with mobile SUs in cognitive radio networks., , , and . ICC, page 2761-2766. IEEE, (2014)Delay analysis for cognitive radio networks supporting heterogeneous traffic., , and . SECON, page 215-223. IEEE, (2011)FMAC: A fair MAC protocol for coexisting cognitive radio networks., , and . INFOCOM, page 1474-1482. IEEE, (2013)