000 04164nam a22005655i 4500
001 978-3-319-32721-1
003 DE-He213
005 20220801214308.0
007 cr nn 008mamaa
008 160601s2016 sz | s |||| 0|eng d
020 _a9783319327211
_9978-3-319-32721-1
024 7 _a10.1007/978-3-319-32721-1
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
100 1 _aZhang, Shan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_937507
245 1 0 _aWireless Traffic Steering For Green Cellular Networks
_h[electronic resource] /
_cby Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXI, 128 p. 43 illus., 41 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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.
650 0 _aTelecommunication.
_910437
650 0 _aRenewable energy sources.
_94906
650 0 _aComputer networks .
_931572
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aRenewable Energy.
_913722
650 2 4 _aComputer Communication Networks.
_937508
700 1 _aZhang, Ning.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_937509
700 1 _aZhou, Sheng.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_937510
700 1 _aNiu, Zhisheng.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_937511
700 1 _aShen, Xuemin (Sherman).
_eauthor.
_0(orcid)0000-0002-4140-287X
_1https://orcid.org/0000-0002-4140-287X
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_937512
710 2 _aSpringerLink (Online service)
_937513
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319327198
776 0 8 _iPrinted edition:
_z9783319327204
776 0 8 _iPrinted edition:
_z9783319813547
856 4 0 _uhttps://doi.org/10.1007/978-3-319-32721-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76185
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