Improving the Existing Spectrum Sensing Techniques for Cognitive Radio using Modulation Techniques

Abstract: Cognitive Radio plays an important role in wireless communication. With the ever increasing demand for wireless communications, the spectrum has become a scarce resource. It is becoming a major obstacle for the development of new wireless technologies and introduction of new applications and services. Cognitive Radio (CR) is one of the major technologies that is the solution to the spectrum scarcity problem. It allows the use of spectrum in an efficient manner. The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. Although a lot of research has been done on techniques, but sensing of modulated signals hasn’t been analysed. In this work, an analytical study and simulation result of spectrum sensing techniques for cognitive radio will be presented. Results of spectrum sensing techniques like, energy detection, cyclo-stationary feature detection and matched filter detection will be analyzed. All the analysis will be done for modulated signal communication, as modulated signals brings us to a more practical approach. Modulation Using BPSK has been done so other technique QPSK will be used.

Keywords: cognitive radio, spectrum sensing techniques, Digital Modulation Techniques.