Performance Evaluation of MM-Waves by Adopting Cognitive Radio under the Rain Fading

Abstract

In modern wireless-networks, the frequency bands of spectrum are licensed to the users for effective utilization. This sort of policy assures the licenses but it leads to under-utilization of spectrum management. The effective solution for this type of issue is effective spectrum-management policies, and the unlicensed are referred as secondary users, these secondary users can access the spectrum bands, when the bands primary users are unused. This is attained by proper monitoring of spectrum which is termed spectrum sensing mechanism based on the energy spotting techniques. The spectrum sensing is affected by time and spatial characteristics of radio frequency channel which depends on operational frequency and local environment. For the frequencies greater than 10GHz the channel is influenced for path-loss by the tropospheric attenuation, majorly by rain-fading. In this research work, we represent a systematic model for the performance analysis of energy spotting approach for the millimeter waves.