Quality Analysis of Cognitive Radio Networks Based on Modulation Techniques

Abstract

Cognitive radio network (CRN) is a 5-G future technology which is helpful to mitigate band width crises. There are several factors that are responsible to improve CRN quality such as modulation, routing protocols, and transmission power, etc. In this paper, we have analyzed various modulation techniques like QPSK, QAM-16, & QAM-64, and shown that QAM-64 modulation scheme performs well in terms of throughput, and outperforms the QPSK, & QAM-16. For simulation we used Net Sim software.