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020 _a9783319739571
_9978-3-319-73957-1
024 7 _a10.1007/978-3-319-73957-1
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
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082 0 4 _a621.382
_223
100 1 _aFernando, Xavier.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_952396
245 1 0 _aCooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks
_h[electronic resource] /
_cby Xavier Fernando, Ajmery Sultana, Sattar Hussain, Lian Zhao.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aX, 107 p. 38 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8120
505 0 _a1 Introduction -- 2 Relay-Based Cooperative Spectrum Sensing -- 3 Cluster-Based Cooperative Spectrum Sensing -- 4 Taxonomy of the Resource Allocation in CRNs -- 5 Resource Allocation in CRNs -- 6 Resource Allocation in CRNs with D2D Communication -- 7 Conclusion and Future Research Directions.
520 _aCognitive radio networks (CRN) will be widely deployed in the near future, and this SpringerBrief covers some important aspects of it, as well as highlighting optimization strategies in Resource Allocation and Spectrum Sensing in CRNs. The cognitive approach in radio access is introduced in the first part of this SpringerBrief, and then  next the benefits of cooperative spectrum sensing are highlighted and a framework for studying it under realistic channel conditions is described.  New exact closed-form expressions for average false alarm probability and average detection probability are derived in this scenario. A novel approximation to alleviate the computational complexity of the proposed models are also discussed. Once the spectrum opportunities are identified, efficient and systematic resource allocation (RA) shall be performed. The second part of this SpringerBrief describes the taxonomy for the RA process in CRN.  A comprehensive overview of the optimization strategies of the CRN RA is also provided. The device-to-device (D2D) communication scenario is discussed, then as a case study and various optimization strategies for the application of the CR technology in the D2D realm is studied. The application of advanced geometric water-filling (GWF) approach in CRN D2D environment for optimum resource allocation is presented in detail. Numerical results provide more insight quantitatively. Overall, this book is suitable for a wide audience that include students, faculty and researchers in wireless communication area and professionals in the wireless service industry.
650 0 _aTelecommunication.
_910437
650 0 _aComputer networks .
_931572
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aComputer Communication Networks.
_952397
700 1 _aSultana, Ajmery.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_952398
700 1 _aHussain, Sattar.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_952399
700 1 _aZhao, Lian.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_952400
710 2 _aSpringerLink (Online service)
_952401
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319739564
776 0 8 _iPrinted edition:
_z9783319739588
830 0 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8120
_952402
856 4 0 _uhttps://doi.org/10.1007/978-3-319-73957-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
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