Spectrum Sensing in Cognitive Radio Networks and Capacity Analysis for Vehicular Network

In recent years, to meet the increasing demands for vehicular communications, cognitive radio(CR) technology have been used to make the communication more effectively. In this paper, we propose a spectrum sensing channel model based on cooperative interference and interleaved channel which consists of two stages transceiver in vehicular network. This model makes use of CR technology with switching matrix to build a compressed channel between primary user(PU) and secondary user(SU). Additionally, we investigate and analyze factors consist of compression ratio, detection probability, false alarm rate, PU occupancy probability and power control parameters which effect channel capacity significantly by simulation and the experimental results show good performances to validate our method.