Performance Analysis of Maximal Ratio Combining for Cyclostationary Feature Detection in Cognitive Radio Networks Kushwah Aparna Singh1, Shrivastava Ayush2 1Assistant Professor, Department of Electronics and Communication, UIT-RGPV, Bhopal, India 2Dual Degree Scholar, Department of Electronics and Communication, UIT-RGPV, Bhopal, India Online published on 31 October, 2017. Abstract With some recent developments in the field of wireless communication, users are getting a number of applications which require the precious bandwidth to work on. As the bandwidth is limited, the available spectrum is being congested day by day. Cognitive Radio System plays an important role in such scenario. It adapts the parameters and protocols dynamically to provide unused spaces in the total usable spectra. There are a number of ways to detect the unused spectrum, Cyclostationary feature detection has been used in the given work. Spectrum sensing can be significantly improved by allowing different users to share their local sensing observations and to cooperatively decide on the licensed spectrum occupancy. From a number of combining schemes available, maximal ratio combining is incorporated as it is the most optimum of all. The main advantage of this detection technique is that it is robust to random noise and interference from other modulated signals, no synchronization is required and it gives optimal detection performance at very low SNR values. On the other hand, it has some limitations such as high computational complexity and increased sensing time. Top Keywords ognitive radio, cyclostationary feature detection, cyclic spectral density, cooperative spectrum sensing, maximal ratio combining. Top |