Double Threshold Spectrum Sensing Methods in Spectrum-Scarce Vehicular Communications

Hill, Ellen; Sun, Hongjian

Abstract

Spectrum scarcity is a growing problem that will affect vehicular communications. Cognitive radio is an effective solution, but requires a robust sensing mechanism that comes with a large overhead; this additional sensing data could be detrimental to a system already lacking in bandwidth. This paper proposes novel ways of limiting sensing overhead using a cooperative mechanism with an adjustable double threshold (DTH). Based on a sliding variable, the threshold can react to changes in the environment to provide the required primary user detection and false alarm probabilities, while limiting the number of vehicles reporting sensing data. Three new DTHs have been proposed: detection-based DTH, decision-based DTH, and independent-threshold DTH. Each has unique properties that make it suited for different environments. Simulations were run on all proposed thresholds to test their validity and endurance under environmental changes. The results indicate that the double thresholds would greatly benefit high-contention, dense vehicular networks.

Citation

Hill, E., & Sun, H. (2018). Double Threshold Spectrum Sensing Methods in Spectrum-Scarce Vehicular Communications. IEEE Transactions on Industrial Informatics, 14(9), 4072-4080. https://doi.org/10.1109/tii.2018.2816580

• Journal Article Type: Article
• Acceptance Date: Feb 27, 2018
• Online Publication Date: Mar 29, 2018
• Publication Date: Sep 30, 2018
• Deposit Date: Feb 27, 2018
• Publicly Available Date: Feb 28, 2018
• Journal: IEEE Transactions on Industrial Informatics
• Print ISSN: 1551-3203
• Electronic ISSN: 1941-0050
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 9
• Pages: 4072-4080
• DOI: https://doi.org/10.1109/tii.2018.2816580
• Public URL: https://durham-repository.worktribe.com/output/1338835