Cooperative Spectrum Sensing for Heterogeneous Sensor Networks Using Multiple Decision Statistics

摘要: The detection of active Primary Users (PUs) in practical wireless channels with a single Cognitive Radio (CR) sensor is challenging due to several issues such as the hidden node problem, path loss, shadowing, multipath fading, and receiver noise/interference uncertainty. In this context, Cooperative Spectrum Sensing (CSS) considered promising technique order enhance overall sensing efficiency. Existing CSS methods mostly focus on homogeneous cooperating nodes considering identical capabilities, equal number antennas, sampling rate Signal Noise Ratio (SNR). However, practice, different capabilities can be deployed at stages are very much likely heterogeneous terms aforementioned features. we propose novel decision statistics-based centralized using joint Probability Distribution Function (PDF) multiple statistics resulting from processing compare its performance various existing cooperative schemes. Further, provide design guideline for network operators facilitate making while upgrading network.