Abstract—We consider the estimation of the position and trans- mit power of primary users in cognitive radio networks based on solving a sequence of  1 -regularized

In contrast with the general case, where only the signal detection aspect is considered, the problem of spectrum sensing as seen from a cognitive radio perspective has very

Index Terms —Compressed sensing, compressive sampling, spectrum sensing, cognitive radio, distribution discontinuities, algebraic detection, sensing algorithm, wideband, change

discontinuities detection using algebraic technique for spectrum sensing in cognitive radio networks”, CrownCom 2010, 5th International Conference on Cognitive Radio Oriented

Turki, Distribution discontinuities detection using alge- braic technique for spectrum sensing in cognitive radio networks, CrownCom’10, 5th International Conference on Cognitive

TH EXPLORA TION- SATELLITE (passive) SPACE RESEARCH(passive) SPACE RESEARCH(passive) RADIO ASTRONOMY MOBILE FIXED RADIO ASTRONOMY INTER- SA TELLITE RADIONA VIGA TION RADIONA VIGA

Considering unknown and different channels between the primary and the cognitive users, an averaged received power spectrum across all the cognitive users is estimated by each

Vandendorpe, “Max-Min SNR signal energy based spectrum sensing algorithms for cognitive radio networks with noise variance uncertainty,” IEEE Trans. Le, “Sensing throughput tradeoff

Mots clés : Cognitive Radio Networks, Parallel transmissions, Spectrum handoff and selection, Routing, Services, Traffic Engineering. Encadrants : Anne

We design an efficient sensing order selection strategy for distributed Cognitive Radio Networks (CRNs), where multiple CRs sense the channels sequentially for spectrum

Grosspietsch, “Energy detection using esti- mated noise variance for spectrum sensing in cognitive radio networks,” in 2008 IEEE Wireless Communications and Networking Conference,

Grosspietsch, “Energy detection using esti- mated noise variance for spectrum sensing in cognitive radio networks,” in 2008 IEEE Wireless Communications and Networking Conference,

Example of input signals and outputs after applying the reconstruction techniques (a) Input signal; (b) Output signal using Bayesian technique combined with Circulant matrix;

on a single channel is considered, where each node tries to estimate the spectrum occupancy on the channel using either non-cooperative or cooperative sensing employing the

The proposed coalition formation algorithm is based on two simple rules of merge- and-split that enable SUs in a cognitive network to cooperate for improving their detection

Keywords: cognitive radio; channel sensing; Interference Sensing; spectrum sensing; full-duplex; half-duplex; internet of things; wireless sensor network; machine learning; 5G; B5G..

Keywords: Compressive Sensing, Compressive Sampling, Spectrum Sensing, Parametric Estimation, Cognitive Radio, Modulated Wideband Converter, Non Uniform Wavelet Band- pass

Keywords: Spectrum sensing, Cumulative power spectral density, Noise uncertainty, Rayleigh fading channel, Cognitive radio..