Analysis of cognitive radio network with multicarrier modulation through energy detection

With the advancement in technology and the ever increasing higher data rate wireless applications and services, spectrum resources are in greater demands. In the current scenario, the allocation of the spectrum to each new service is given their own fixed frequency Slots. Most of the user's spectrum is already assigned, so it becomes very tedious task to find the vacant spectrum for other users or existing users. This leads to the non-availability of the spectrum and inefficient channel utilization. Cognitive radio is an emerging technology which helps in improving the spectrum utilization by dynamic spectrum access which allows the secondary user to borrow the unused radio spectrum from primary licensed users or to share the assigned spectrum with the primary users. Present paper deals with the spectrum sensing based on energy detection technique to find the spectrum gap and investigate its detection performance in an efficient and appropriate way. Simulation results show that the probability of detection is achieved at small SNR value in case of OFDM modulation as compare to the others in a simple cognitive environment.