Machine learning‐based models for spectrum sensing in cooperative radio networks
Author:
Affiliation:
1. Department of Electrical EngineeringLondrina State UniversityRod. Celso Garcia Cid ‐ PR445, PO Box 10.011, CEP: 86057‐970LondrinaPRBrazil
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-com.2019.0941
Reference24 articles.
1. A survey of measurement‐based spectrum occupancy modeling for cognitive radios;Chen Y.;IEEE Commun. Surv. Tutor.,2014
2. Sequence detection algorithms for PHY‐layer sensing in dynamic spectrum access networks;Sun Z.;IEEE J. Sel. Top. Signal Process.,2010
3. FCC: ‘Spectrum policy task force’. ET Docket No. 02‐155 November 2002
4. Cognitive radio: making software radios more personal
5. Ultra‐dense small cell planning using cognitive radio network toward 5G;Tseng F.‐h.;IEEE Wirel. Commun.,2015
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