Cognitive Communication and Cooperative HetNet Coexistence: by Andrea Mariani, Andrea Giorgetti (auth.), Maria-Gabriella Di

By Andrea Mariani, Andrea Giorgetti (auth.), Maria-Gabriella Di Benedetto, Faouzi Bader (eds.)

This e-book, written via specialists from universities and significant commercial examine laboratories, is dedicated to the highly regarded subject of cognitive radio and networking for cooperative coexistence of heterogeneous instant networks. chosen hugely appropriate complicated learn is gifted on spectrum sensing and development towards the conclusion of exact radio setting mapping, biomimetic studying for self-organizing networks, safeguard threats (with a unique concentrate on fundamental consumer emulation attack), and cognition as a device for eco-friendly next-generation networks. The study actions lined contain paintings undertaken in the framework of the ecu rate motion IC0902, that is geared in the direction of the definition of a ecu platform for cognitive radio and networks. Communications engineers, R&D engineers, researchers, and scholars will all reap the benefits of this whole reference on contemporary advances in instant communications and the layout and implementation of cognitive radio structures and networks.

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Extra resources for Cognitive Communication and Cooperative HetNet Coexistence: Selected Advances on Spectrum Sensing, Learning, and Security Approaches

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A 36(2), 842–848 (1987) 17. : Coding theorems for individual sequences. IEEE Trans. Inform. Theory 24(4), 405–412 (1978) 18. : Three approaches to the definition of the concept quantity of information. Problemy Peredachi Informatsii 1(1), 3–11 (1965) 19. : Entropy and the complexity of the trajectories of a dynamical system. Trans. Moscow Math. Soc. 44(2), 127–151 (1983) 20. : Predictability: a way to characterize complexity. Phys. Rep. 356(6), 367–474 (2002) 21. : Q-learning. Mach. Learn. 1 Introduction Spectrum sensing is one of the key elements of cognitive radio (CR) systems.

We use the term complexity to refer to the unpredictability associated with the primary user’s wireless resource usage, which we quantitatively characterize using Lempel-Ziv complexity. We evaluate the effectiveness of two learning-based dynamic channel selection algorithms by testing them with real spectrum occupancy data collected in the GSM, ISM, and DECT bands. Our results show that learning performance is highly correlated with the level of PU activity, estimated by the duty cycle, and the amount of structure in the use of spectrum, estimated by the Lempel-Ziv complexity.

5 we perform the same analysis of Fig. 3 in a Rayleigh fading scenario. Here we consider frequency-flat fading on all frequency bins. With respect to the AWGN case we can see that fading has a big impact on the performance of the wideband algorithms, increasing the SNR value at which they reach a target probability of correct detection. From the previous analysis it emerges that CAICF, CAIC2, and CAIC3 are the ITC algorithms that allows a better sensing performance allowing almost 100 % probabilities of correct detection of the occupied bins set.

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