Spectrum sensing with energy detection in cognitive Vehicular Ad hoc Networks

Abstract

Recent advancement in vehicular wireless applications is also a major contributing factor in spectrum scarcity. Cognitive radio technique is applied to Vehicular Ad hoc Networks (VANETs) to increase frequency bandwidth. Fast and reliable detection of primary user is the key component of cognitive radio networks. Energy detection (ED) based spectrum sensing is a viable choice for vehicle communications due to its simplicity, low computational cost and ability to be applied on any kind of deterministic signal. This paper examines the performance of spectrum sensing using energy detection over correlated Rayleigh channel. For the no-diversity case and for the Equal Gain Combining (EGC) diversity case it presents some alternative closed-form expressions for the probability of miss detection to those recently reported in the literature. The relevant simulation results are presented to support our analytical results for average miss detection probability.