Cognitive Radio Network with Spectrum Prediction and Monitoring Techniques

The PU channels are highly utilized in the high‐traffic cognitive radio networks (HTCRNs) which results the decrease in the idle probability of channels. In this chapter, the concepts of spectrum prediction and hybrid spectrum access techniques are explored to improve the throughput by alleviating the spectrum sensing errors. Moreover, in the data transmission phase, the cognitive user (CU) transmits data only on the idle sensed channels whereas it needs to wait on the active sensed channels which cause the problem of wait/switch/stop states. To conquer the issue of wait states, a novel approach is proposed in which the hybrid spectrum access technique named as Approach‐1 is exploited. Moreover, the concept of spectrum monitoring during the data transmission period is exploited to lighten the data loss of CU and interference‐at‐PU, and this is named as Approach‐2. The performance analysis of the proposed system models is illustrated. Further, the simulation results and analysis are presented.