Unified Investigation of Spectrum Sensing Schemes for Cognitive Radio Networks

Abstract: A better Quality of Service (QoS) is the prime objective for the wireless applications and which can be satisfied by proper management of the available spectrum. In recent time Cognitive Radio (CR) is arise as promising technology to support spectrum management dynamically. Spectrum sensing is an important issue in dynamic spectrum management. There are number of spectrum sensing techniques presented in frequent literatures. This paper consist of the comparative analysis of different eigenvalue based spectrum sensing techniques is presented. The Maximum Minimum Eigen value detection, Energy detection, Mean Eigen value detection and Roys Largest root test are considered for the evaluation. Closed form analysis of equation is traced and from that it is confirmed that Maximum Minimum eigen value gives better execution and can be useful for spectrum sensing for dynamic spectrum management perspective.

Keywords: Cognitive Radio, Eigen Value Detection, Energy Detection, Roys Largest Root Test, Dynamic Spectrum Management.