On the performance of spectrum sensing in cognitive vehicular networks

Recent advancement in vehicular wireless applications is also a major contributing factor in spectrum scarcity. Cognitive radio technique can be applied to vehicular networks to fully exploit the underutilized licensed spectrum. 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 vehicular environment 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 sensing channel and binary symmetric reporting channel. For local sensing and cooperative sensing with hard fusion, 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 probability of miss detection.