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001 978-3-319-53147-2
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020 _a9783319531472
_9978-3-319-53147-2
024 7 _a10.1007/978-3-319-53147-2
_2doi
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072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
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072 7 _aTJFC
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082 0 4 _a621.3815
_223
100 1 _aPandit, Shweta.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_960732
245 1 0 _aSpectrum Sharing in Cognitive Radio Networks
_h[electronic resource] :
_bMedium Access Control Protocol Based Approach /
_cby Shweta Pandit, Ghanshyam Singh.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXXIII, 254 p. 81 illus., 58 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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505 0 _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.
520 _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.
650 0 _aElectronic circuits.
_919581
650 0 _aSignal processing.
_94052
650 0 _aEnergy policy.
_914226
650 0 _aEnergy and state.
_931819
650 0 _aElectronics.
_93425
650 1 4 _aElectronic Circuits and Systems.
_960733
650 2 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aEnergy Policy, Economics and Management.
_931820
650 2 4 _aElectronics and Microelectronics, Instrumentation.
_932249
700 1 _aSingh, Ghanshyam.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_960734
710 2 _aSpringerLink (Online service)
_960735
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319531465
776 0 8 _iPrinted edition:
_z9783319531489
776 0 8 _iPrinted edition:
_z9783319850764
856 4 0 _uhttps://doi.org/10.1007/978-3-319-53147-2
912 _aZDB-2-ENG
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999 _c80612
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