An Investigation of Non-Cooperative Spectrum Sensing Techniques Used In CR-VANET
Keywords:
Vehicular Network, Cognitive Radio, Spectrum Sensing, Energy Detection, Matched Filter detection, Cyclo-stationary DetectionAbstract
Cognitive radio vehicular networks (CR-VANETs) have gained significant attention as a means to improve spectrum utilization and communication efficiency in vehicular environments. A critical duty in CR-VANETs is spectrum sensing, which enables secondary users (SUs) to utilize underused frequency bands without interfering with prime users (PUs). Non-cooperative spectrum sensing techniques have emerged as an alternative to cooperative approaches due to practical challenges in achieving cooperation among vehicles. In this investigation, we review and categorize existing non-cooperative spectrum sensing techniques in CR-VANETs, including individual sensing, decision fusion, and game-theoretic methods. We analyze the advantages, limitations, and trade-offs of each approach, and investigate the impact of factors such as fading, interference, and mobility. Match filter detection, energy detection, and cyclo-stationary feature detection, the three widely used sensing techniques, have all been contrasted.
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