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710	2		_aSpringerLink (Online service) _9106996
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008			180522s2019 gw a o |||| 0|eng d
020			_a9783319739571
024	7		_a10.1007/978-3-319-73957-1 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTK5103.4815 _b2019 EB
100	1		_aFernando, Xavier N. _eautor _9673224
245	1	0	_aCooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks _cXavier Fernando, Ajmery Sultana, Sattar Hussain, Lian Zhao.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019.
300			_a1 recurso en línea (X, 107 páginas) _b38 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
490	0		_aSpringerBriefs in Electrical and Computer Engineering _x2191-8112
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	3		_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.
988			_aPrimersemestre_2019_Engineering
650		7	_aSistemas de comunicación inalámbricos _2embne _9158044
650		7	_aSistemas de comunicación móviles _2embne _9147646
700	1		_aHussain, Sattar. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aSultana, Ajmery. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aZhao, Lian. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783319739564
776	0	8	_iPrinted edition: _z9783319739588
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-73957-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_dz _feng _ggw _h0 _b04/2020 _eo _zSI