… to determine the optimal exponent for a given cognitive radio system scenario. Both theoretical
… detection in terms of detection performance and robustness to the noise uncertainty. …

… true with Laplacian noise. Index Terms—Cognitive radio, spectrum sensing, Pearson …
statistic D for the H0 and H1 hypotheses with Laplacian noise are not available, we now use the …

… of non-Gaussian noise is a challenging problem for cognitive radio networks. However, …
with Laplacian noise. The AVC makes full use of the stochastic properties of Laplacian noise and …

… where the received signal at the cognitive terminal is correlated with primary … noise is
known as shape parameter. We should note that Laplacian noise is a special case of GG noise …

… Class A model (MCA) or Laplacian noise model. The Laplacian model is used in [19] to …
In this paper, we consider dynamic primary user (PU) with additive Laplacian noise [19, 20]. …

… Here we assume that a cognitive radio network is composed of a primary user, I secondary
users and a fusion center. Each cognitive user detects the primary user over the wireless …

… noise scenario and Laplace noise scenario is valid. For both Laplace noise and mixed Gaussian
and Laplace noise, … In addition, for Gaussian noise, the performance of the HT-ED is the …

… by additive white Gaussian noise (AWGN) only, in practice, CRs also have to cope with
various types of non–Gaussian noise such as man–made impulsive noise, co–channel …

… {yk = 0} = 0 under the Laplace noise assumption, making Pr{T2,0(… suitable for signal detection
under Laplace noise assumption. … Note that, if we assume an iid Laplacian noise model (ie …

… Cognitive radio (CR) has recently emerged as a technology … signal of possibly unknown
type in noise. For example, for … impaired by additive white Gaussian noise (AWGN). However…