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001			85946
003			ES-MaUEC
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007			cr nn 008mamaa
008			160601s2016 gw a s 001 0 eng d
020			_a9783319327211
024	7		_a10.1007/978-3-319-32721-1 _2doi
040			_aES-MaUEC
050		4	_aTK5103.2 _b.Z43 2016 EB
082	0	4	_a621.382
100	1		_aZhang, Shan _999285 _0Local
245	1	0	_aWireless Traffic Steering For Green Cellular Networks _cby Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen
264		1	_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XI, 128 p.) _b43 ilustraciones, 41 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aIntroduction -- Literature Review on Green Communications -- Dynamic Network Planning with Intra-Tier Traffic Steering -- Dynamic Network Planning with Inter-Tier Traffic Steering -- Inter-Tier Traffic Steering with Renewable Energy Harvesting -- Concluding Remarks.
520			_aThis book introduces wireless traffic steering as a paradigm to realize green communication in multi-tier heterogeneous cellular networks. By matching network resources and dynamic mobile traffic demand, traffic steering helps to reduce on-grid power consumption with on-demand services provided. This book reviews existing solutions from the perspectives of energy consumption reduction and renewable energy harvesting. Specifically, it explains how traffic steering can improve energy efficiency through intelligent traffic-resource matching. Several promising traffic steering approaches for dynamic network planning and renewable energy demand-supply balancing are discussed. This book presents an energy-aware traffic steering method for networks with energy harvesting, which optimizes the traffic allocated to each cell based on the renewable energy status. Renewable energy demand-supply balancing is a key factor in energy dynamics, aimed at enhancing renewable energy sustainability to reduce on-grid energy consumption. Dynamic network planning adjusts cell density with traffic variations to provide on-demand service, which reduces network power consumption with quality of service provisioning during off-peak hours. With intra- or inter-tier traffic steering, cell density is dynamically optimized with regards to the instant traffic load for conventional homogeneous and multi-tier heterogeneous cellular networks, respectively. This book is beneficial for researchers and graduate students interested in traffic management and future wireless networking.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_aSistemas de comunicación inalámbricos _0comprobar BNE20010055976 _2embne _9158044
650		7	_aSistemas de comunicación móviles _0comprobar BNE19930059813 _2embne _9147646
700	1		_aZhang, Ning _999286 _0Local
700	1		_aZhou, Sheng _999287 _0Local
700	1		_aNiu, Zhisheng _999288 _0Local
700	1		_aShen, Xuemin (Sherman) _0Local _997063
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-32721-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319327211
907			_a.b12952242 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b21-09-17 _cm _dz _ei _feng _ggw _h0
945			_aTK5103.2 .Z43 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11594950 _z06-04-17
999			_c85946 _d85946 _x1