LEADER 04286nam 22006015 450 001 9910254242503321 005 20250609110101.0 010 $a3-319-32721-6 024 7 $a10.1007/978-3-319-32721-1 035 $a(CKB)3710000000718291 035 $a(EBL)4537348 035 $a(DE-He213)978-3-319-32721-1 035 $a(MiAaPQ)EBC4571510 035 $a(PPN)19438134X 035 $a(MiAaPQ)EBC4537348 035 $a(EXLCZ)993710000000718291 100 $a20160601d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWireless Traffic Steering For Green Cellular Networks /$fby Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (136 p.) 300 $aDescription based upon print version of record. 311 1 $a3-319-32719-4 320 $aIncludes bibliographical references at the end of each chapters. 327 $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. 330 $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. 606 $aElectrical engineering 606 $aRenewable energy sources 606 $aComputer networks 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aRenewable and Green Energy$3https://scigraph.springernature.com/ontologies/product-market-codes/111000 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 615 0$aElectrical engineering. 615 0$aRenewable energy sources. 615 0$aComputer networks. 615 14$aCommunications Engineering, Networks. 615 24$aRenewable and Green Energy. 615 24$aComputer Communication Networks. 676 $a620 700 $aZhang$b Shan$4aut$4http://id.loc.gov/vocabulary/relators/aut$01062324 702 $aZhang$b Ning$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZhou$b Sheng$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aNiu$b Zhisheng$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aShen$b Xuemin (Sherman)$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910254242503321 996 $aWireless Traffic Steering For Green Cellular Networks$92524393 997 $aUNINA