@inproceedings{11f859783712429796c50580883418af,
title = "Performance improvement of cognitive radio network using spectrum prediction and monitoring techniques for spectrum mobility",
abstract = "In this paper, we have exploited the spectrum monitoring and prediction techniques, simultaneously for the spectrum mobility, in order to enhance the performance of the cognitive radio network. In the proposed strategy, the decision results of the spectrum prediction and monitoring techniques are fused using AND and OR fusion rules, for the detection of emergence of the PU during data transmission. Further, the closed-form expressions of the resource wastage, achieved throughput, interference power at PU and data-loss for the proposed and prediction approaches are derived. Moreover, the simulation results for the proposed approaches are presented and validation is performed by comparing the results with prediction approach.",
keywords = "Cognitive Radio, Hybrid, Interweave, Spectrum Aceessing, Throughput, Underlay",
author = "Prabhat Thakur and Alok Kumar and S. Pandit and G. Singh and Satashia, {S. N.}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 4th IEEE International Conference on Parallel, Distributed and Grid Computing, PDGC 2016 ; Conference date: 22-12-2016 Through 24-12-2016",
year = "2016",
doi = "10.1109/PDGC.2016.7913208",
language = "English",
series = "2016 4th International Conference on Parallel, Distributed and Grid Computing, PDGC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "679--684",
editor = "Ghrera, {Satya Prakash} and Pardeep Kumar and Singh, {Amit Kumar}",
booktitle = "2016 4th International Conference on Parallel, Distributed and Grid Computing, PDGC 2016",
address = "United States",
}