000			04130nam a22004215i 4500
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/274647764/ _9106996
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008			170818s2018 gw | s |||| 0|eng d
020			_a9783319642680
024	7		_a10.1007/978-3-319-64268-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5103.4873 _b2018 EB
100	1		_aGamage, Amila Tharaperiya _eautor _9673089
245	1	0	_aResource Management for Heterogeneous Wireless Networks _cby Amila Tharaperiya Gamage, Xuemin (Sherman) Shen
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XVII, 101 páginas) _bilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8112
490	0		_aEngineering (Springer-11647)
505	0		_aList of Abbreviations -- List of Symbols -- 1 Introduction -- 2 Heterogeneous Wireless Networks -- 3 Resource Allocation for Cellular/WLAN Interworking -- 4 Resource Allocation for D2D Communication Underlaying Cellular/WLAN Interworking -- 5 Resource Allocation for Interworking Macro Cell and Hyper-Dense Small Cell Networks -- 6 Conclusions and Future Directions -- Appendices -- References.
520	3		_aThis book provides an in-depth discussion on how to efficiently manage resources of heterogeneous wireless networks and how to design resource allocation algorithms to suit real world conditions. Efficiently managing resources of the networks is more crucial now, than ever before, to meet users' rapidly increasing demand for higher data rates, better quality-of-service (QoS) and seamless coverage. Some of the techniques that can be incorporated within heterogeneous wireless networks to achieve this objective are interworking of the networks, user multi-homing and device-to-device (D2D) communication.  Designing resource allocation algorithms to suit real world conditions is also important, as the algorithms should be deployable and perform well in real networks. For example, two of the conditions considered in this book are resource allocation intervals of different networks are different and small cell base stations have limited computational capacity. To address the first condition, resource allocation algorithms for interworking systems are designed to allocate resources of different networks at different time-scales. To address the second condition, resource allocation algorithms are designed to be able to run at cloud computing servers. More of such conditions, algorithms designed to suit these conditions, modeling techniques for various networks and performance analysis of the algorithms are discussed in the book.   This book concludes with a discussion on the future research directions on the related fields of study. Advanced-level students focused on communication and networking will use this book as a study guide. Researchers and experts in the fields of networking, converged networks, small-cell networks, resource management, and interference management, as well as consultants working in network planning and optimization and managers, executives and network architects working in the networking industry will also find this book useful as a reference.
988			_aEBSPRINGER_2018
650		7	_2embne _aSistemas de comunicación móviles _9147646
650		7	_2embne _aRedes locales inalámbricas _9163266
700	1		_aShen, Xuemin (Sherman) _eautor _997063
776	0	8	_iEdición impresa: _z9783319642673
776	0	8	_iEdición impresa: _z9783319642697
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-64268-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2020 _dz _ek _zSI