Performance analysis of data fusion schemes in cooperative spectrum sensing for cognitive radio networks

Abstract

In the actual communication environment, the accuracy of spectrum detection is easily affected by the uncertainty factors such as multipath fading, shadow effect, hidden terminal, channel signal-to-noise ratio, and noise variance fluctuation. Cooperative spectrum sensing technology makes full use of the spatial gain generated by sensor nodes in different geographical locations, and obtains more accurate combination decision results than single node decision. In cooperative sensing, fusion center (FC) will analyze and process the collected local detection statistics or sensing results according to a certain data fusion rule, and make the final decision on the current channel state according to the fusion results. Data fusion strategy plays an important role in perception results and system reliability. In this paper, we summarize several conventional data fusion schemes in cooperative spectrum sensing for cognitive radio networks and conduct performance analysis.