Performance of Maximum Eigenvalue Spectrum Sensing over α - μ , κ - μ and η - μ Fading Channels

Eigenvalue spectrum sensing is a powerful tech- nique to search for spectrum holes, with performance similar to the energy detection. Among the eigenvalue-based techniques, the maximum eigenvalue detection (MED), also known as Roy’s Largest Root Test (RLRT) is, for a sufficiently large number of samples, the optimum test if there is no a priori knowledge on the primary signal. In this paper, the probability of detection of the MED is assessed, assuming that the primary signal is transmitted over the α - μ , κ - μ and η - μ generalized fading channels.