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Titlebook: Cognitive Radio, Mobile Communications and Wireless Networks; Mubashir Husain Rehmani,Riadh Dhaou Book 2019 Springer International Publish

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Optimum Spectrum Sensing Approaches in Cognitive Networks,n energy constraint. This may not be the optimum solution to sense the channel. In this chapter, we present various approaches to sense the spectrum availability dynamically using various parameters including energy which may not only improve the packet delivery ratio but also reduces the overhead.
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Learning Strategies in Cognitive Radio Involving Soft Computing Techniques, knowledge base, reasoning block, and learning phase. As part of cognitive process, the radio observes, orients, takes decisions, and evaluates the outcomes of decisions taken which is part of the learning phase. There are a variety of learning techniques enabling prediction of various operating and
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Michael Kreutzer,Johanna Mittermeier for storing, processing such big data, and providing monitoring service in order to be used by, e.g., CR nodes; (2) considers the impact of contextual parameters such as location, time, building complexity around the user, etc. on the spectrum availability decision; and (3) takes the advantages of
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Selbstbestimmung, Privatheit und Datenschutzorithm is devised. The efficiency of the proposed cooperative CUSUM spectrum sensing algorithm performs better than existing optimal rules based on a single observation spectrum sensing techniques under cooperative networks.
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Judith Meinert,Nicole C. Krämersuch higher frequencies due to severe effects of atmospheric turbulence and scattering. Hence, it is imperative to explore cognitive spectrum sharing techniques to enhance spectrum utilization efficiency through the development of hybrid satellite-terrestrial communication systems. In this regard, t
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https://doi.org/10.1007/978-3-658-33306-5requencies. Frequency bands identified for the operation of networks at mmWave frequencies have been listed. Methods proposed for achieving higher energy efficiency and optimization of mmWave networks have been highlighted. The concept of cognitive radio networks (CRNs) for bandwidth-craving multime
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Hairong Yi,Yuqing Zhu,Dongdai Lintacker. Impact of several parameters such as sensing time, IED parameter, probability of attacker’s presence, attacker strength, maximum allowable SU transmit power, and tolerable interference limit at PU on the SU throughput is investigated. A simulation model is developed based on MATLAB to suppor
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