Communications and Network

Communications and Network

ISSN Print: 1949-2421
ISSN Online: 1947-3826
www.scirp.org/journal/cn
E-mail: cn@scirp.org
"Improving the Reliability of Unmanned Aircraft System Wireless Communications through Cognitive Radio Technology"
written by Hector Reyes, Naima Kaabouch,
published by Communications and Network, Vol.5 No.3, 2013
has been cited by the following article(s):
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[1] A Switching Method to Event-Triggered Output Feedback Control for Unmanned Aerial Vehicles Over Cognitive Radio Networks
2020
[2] TILT ROTOR REMOTELY PILOTED AIRCRAFT SYSTEM (RPAS)–DESIGN OPTIMIZATION, EXPERIMENT AND VALIDATION
International Journal of Mechanical and Production Engineering Research and Development, 2019
[3] Cyber Attacks on Unmanned Aerial System Networks: Detection, Countermeasure, and Future Research Directions
2019
[4] Design challenges of multi-UAV systems in cyber-physical applications: A comprehensive survey and future directions
2019
[5] Performance Comparison of Machine Learning Algorithms in Detecting Jamming Attacks on ADS-B0 Devices
2019
[6] Potential Data Link Candidates for Civilian Unmanned Aircraft Systems: A Survey
2019
[7] The design and the implementation of the byzantine attack mitigation scheme in cognitive radio ad hoc networks
2019
[8] DESIGN OF A VIRTUAL WIRELESS LINK SELECTION ALGORITHM FOR RELIABILITY OF COOPERATIVE COGNITIVE RADIO NETWORKS
2018
[9] Integration of a radar sensor into a sense-and-avoid payload for small UAS
2018
[10] Design Challenges of Multi-UAV Systems in Cyber-Physical Applications: A Comprehensive Survey, and Future Directions
2018
[11] Energy efficient 3D positioning of micro unmanned aerial vehicles for underlay cognitive radio systems
2017
[12] Analysis of vulnerabilities, attacks, countermeasures and overall risk of the Automatic Dependent Surveillance-Broadcast (ADS-B) system
International Journal of Critical Infrastructure Protection, 2017
[13] Energy-Efficient Management of Unmanned Aerial Vehicles for Underlay Cognitive Radio Systems
2017
[14] Techniques for dealing with uncertainty in cognitive radio networks
2017
[15] Cognitive radio for aeronautical communications: A survey
2016
[16] A Bayesian Network Model of the Bit Error Rate: Its Application in Cognitive Radios
2015
[17] Integration of Cognitive Radio Technology with Unmanned Aerial Vehicles: Issues, Opportunities, and Future Research Challenges
Journal of Network and Computer Applications, 2015
[18] A Bayesian network model of the bit error rate for cognitive radio networks
Wireless and Microwave Technology Conference (WAMICON), 2015 IEEE 16th Annual, 2015
[19] A spectrum sensing technique based on autocorrelation and Euclidean distance and its comparison with energy detection for cognitive radio networks
Computers & Electrical Engineering, 2015
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