A Low-Complexity Cyclostationary Spectrum Sensing for Interference Avoidance in Femtocell LTE-A-Based Networks

This correspondence focuses on a new spectrum sensing algorithm based on the exploitation of the primary signal cyclostationarity property, used to avoid the inter-cell interference in a heterogeneous LTE-A network. The performance of the proposed spectrum sensing method will be evaluated by means of a suitable analytical approach whose accuracy will be validated by comparing analytical predictions with simulation results under different communication channel propagation conditions. Furthermore, it will be shown that the proposed approach requires the lowest computational complexity among the cyclostationarity-based methods and allows better performance, even in the case of noise uncertainty, in terms of false alarm, detection probability and deflection coefficient.