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010   $a3-319-53147-6
024 7 $a10.1007/978-3-319-53147-2
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035   $a(DE-He213)978-3-319-53147-2
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035   $a(PPN)20051461X
035   $a(EXLCZ)993710000001176231
100   $a20170412d2017      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSpectrum Sharing in Cognitive Radio Networks $eMedium Access Control Protocol Based Approach /$fby Shweta Pandit, Ghanshyam Singh
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (XXIII, 254 p. 81 illus., 58 illus. in color.) 
311   $a3-319-53146-8 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aCognitive Radio Communication System¾Spectrum Sharing Techniques -- Spectrum Sensing in Cognitive Radio: Potential Techniques and Future Perspective -- Medium Access Control Protocol for Distributed Cognitive Radio Network -- Distributed Cognitive Radio Medium Access Control Protocol in Perfect and Imperfect Channel Sensing Scenarios -- Throughput Enhancement using Bandwidth Wastage in MAC Protocol of the Distributed Cognitive Radio Network -- Power Allocation for Optimum Energy Efficiency in MAC Protocol of Cognitive Radio Communication System -- Frame Structure for Throughput Maximization in Cognitive Radio Communication -- Capacity Limits over Fading Environment with Imperfect Channel State Information for Cognitive Radio Network -- Channel Capacity of Cognitive Radio in Fading Environment with CSI and Interference Power Constraints -- Framework for Cross-Layer Optimization in Cognitive Radio Network.
330   $aThis book discusses the use of the spectrum sharing techniques in cognitive radio technology, in order to address the problem of spectrum scarcity for future wireless communications. The authors describe a cognitive radio medium access control (MAC) protocol, with which throughput maximization has been achieved. The discussion also includes use of this MAC protocol for imperfect sensing scenarios and its effect on the performance of cognitive radio systems. The authors also discuss how energy efficiency has been maximized in this system, by applying a simple algorithm for optimizing the transmit power of the cognitive user. The study about the channel fading in the cognitive user and licensed user and power adaption policy in this scenario under peak transmit power and interference power constraint is also present in this book.
606   $aElectronic circuits
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aEnergy efficiency
606   $aElectronics
606   $aMicroelectronics
606   $aCircuits and Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/T24068
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aEnergy Efficiency$3https://scigraph.springernature.com/ontologies/product-market-codes/118000
606   $aElectronics and Microelectronics, Instrumentation$3https://scigraph.springernature.com/ontologies/product-market-codes/T24027
615  0$aElectronic circuits.
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aEnergy efficiency.
615  0$aElectronics.
615  0$aMicroelectronics.
615 14$aCircuits and Systems.
615 24$aSignal, Image and Speech Processing.
615 24$aEnergy Efficiency.
615 24$aElectronics and Microelectronics, Instrumentation.
676   $a621.3815
700   $aPandit$b Shweta$4aut$4http://id.loc.gov/vocabulary/relators/aut$0981939
702   $aSingh$b Ghanshyam$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910254329803321
996   $aSpectrum Sharing in Cognitive Radio Networks$92241006
997   $aUNINA