Spectral Management of Multiple Wireless Signals Based Cognitive Radio

Abstract

Intelligent radio resource management (RRM) policies could be applied to minimize the harmful effects of interference and an uneven load distribution. RRM should provide efficient spectrum and channel allocation mechanisms, modulation selection algorithms, power control and load balancing. Spectrum sensing is a key enabling technology for a broad class of cognitive radio systems involving spectrum agility. In order to identify spectral opportunities, spectrum sensing is needed by the secondary users (SU). In this paper a spectral management and sensing for three types of wireless signals within the IEEE802 family (Wi-Fi, Zig-Bee and Bluetooth) are presented. Then SU efficiently exploit the idle spectrum and vacate it when required by primary user (PU). A simulation system is built and Energy Detector technique is used for sensing the spectrum. The results shows that delay times for changing the status between exploiting and vacating the channels are too low. The error detection is occurred in limited range of SNR because of using fixed threshold level. 