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

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978-3-030-08154-6Springer International Publishing AG, part of Springer Nature 2019

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Cognitive Radio, Mobile Communications and Wireless Networks978-3-319-91002-4Series ISSN 2522-8595 Series E-ISSN 2522-8609

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Cloud-Based Context-Aware Spectrum Availability Monitoring and Prediction Using Crowd-Sensing, 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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Network Coding-Based Broadcasting Schemes for Cognitive Radio Networks,on about spectrum. Moreover, the broadcast collision due to simultaneous reception of broadcast messages at the same node and PU activity results into waste of network resources which should be mitigated in multi-hop CRN. The challenges of using network coding for broadcasting include PU detection,

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Health Monitoring Using Wearable Technologies and Cognitive Radio for IoT,nts, such as cognitive radio and 5G, are integrated parts of the Future Internet. For IoT cognitive radio the requirement is to reduce the channel inference with primary licensed users and alternative spectrum management (e.g. each unlicensed user will sense and access the spectrum when the spectrum

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Millimeter Waves: Technological Component for Next-Generation Mobile Networks,requencies. 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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