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Download Spectrum Access and Management for Cognitive Radio Networks by Mohammad A Matin (eds.) PDF

By Mohammad A Matin (eds.)

This e-book provides state of the art learn contributions that tackle quite a few elements of community layout, optimization, implementation, and alertness of cognitive radio applied sciences. It demonstrates tips on how to make greater usage of the on hand spectrum, cognitive radios and spectrum entry to accomplish powerful spectrum sharing among authorized and unlicensed clients. The booklet presents lecturers and researchers crucial info on present advancements and destiny tendencies in cognitive radios for attainable integration with the impending 5G networks. additionally, it contains a short advent to cognitive radio networks for rookies to the field.

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Extra resources for Spectrum Access and Management for Cognitive Radio Networks

Example text

Using Parseval’s theorem, CPy (M) becomes: CPy (M) = = 1 N M ∑ |Y(????)|2 ????=−M+1 N ∑ |y(n)|2 (52) n=1 For [k; l] = [1; M], CPy (M) is the half of the energy of the received signal, this is because of the symmetric property of Pw (????) and Ps (????). This normalization is equivalent to a scaling and does not change the shape form of the CPSD. Without taking into account the relative position of scy (????) with respect to the reference straight line, the decision about the presence of the PU signal is made by comparing the scy (????) shape to the reference line.

Moreover, the developed detector takes into account the problems that are frequently existing with the blind detectors. For example, ED suffers a performance degradation due to the noise uncertainty problem. Over more, ACD requires a high oversampling rate in order to present an efficient performance, so that at the limiting case, when the number of samples per symbol is two, ACD is poor comparing to ED. Also, this limitation will be avoided by our developed detectors. Besides that, to overcoming the problems of the state of the art detectors, the developed detectors present an efficient performance, require a short observation time and have a moderate complexity.

Once two SUs hop to the same available channel in the same timeslot, SU can communicate with each other. In the literatures, the models of channel hopping algorithms are classified according to the following three criteria. • Heterogeneous/homogeneous role. , every SU has a pre-assigned role as either a sender or a receiver, like the master and slave in Bluetooth) prior to the beginning of channel hopping sequences, while homogeneous role algorithms do not. • Symmetric/asymmetric available channel model.

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