Optimal sensing-deception strategy with fading in cognitive radio networks

The optimal sensing-deception strategy by a power-limited intelligent adversary of a cognitive radio network is analyzed in this paper. The average number of false detections of the secondary users is maximized when the adversary employs noise spoofing signals, and each such signal experiences multipath-induced fading. The global optimal solution to what turns out to be a nonlinear, non-convex optimization is obtained through a two-step transformation. Numerical results show that, under i.i.d. Rayleigh fading, the optimal sensing-deception strategy for the adversary corresponds to equal-power, partial-band spoofing.