國立高雄大學圖資館 |

Language: English

Back

Wireless traffic steering for green ...

SpringerLink (Online service)

Wireless traffic steering for green cellular networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Wireless traffic steering for green cellular networksby Shan Zhang ... [et al.].
other author:	Zhang, Shan.
Published:	Cham :Springer International Publishing :2016.
Description:	xi, 128 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Cell phone systems.
Online resource:	http://dx.doi.org/10.1007/978-3-319-32721-1
ISBN:	9783319327211$q(electronic bk.)

Wireless traffic steering for green cellular networks
Wireless traffic steering for green cellular networks[electronic resource] /by Shan Zhang ... [et al.]. - Cham :Springer International Publishing :2016. - xi, 128 p. :ill. (some col.), digital ;24 cm.

Introduction -- 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.

This 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.

ISBN: 9783319327211$q(electronic bk.)

Standard No.: 10.1007/978-3-319-32721-1doiSubjects--Topical Terms:

455911
Cell phone systems.

LC Class. No.: TK5103.2

Dewey Class. No.: 621.38456

Wireless traffic steering for green cellular networks
LDR:02781nmm a2200313 a 4500 001 490574
003 DE-He213
005 20161123170327.0
006 m d
007 cr nn 008maaau
008 170118s2016 gw s 0 eng d
020 $a 9783319327211$q(electronic bk.)
020 $a 9783319327198$q(paper)
024 7 $a 10.1007/978-3-319-32721-1 $2 doi
035 $a 978-3-319-32721-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5103.2
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
082 0 4 $a 621.38456 $2 23
090 $a TK5103.2 $b .W798 2016
245 0 0 $a Wireless traffic steering for green cellular networks $h [electronic resource] / $c by Shan Zhang ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xi, 128 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Introduction -- 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 $a This 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 $a Cell phone systems. $3 455911
650 0 $a Telecommunication $x Traffic. $3 181989
650 1 4 $a Engineering. $3 210888
650 2 4 $a Communications Engineering, Networks. $3 273745
650 2 4 $a Renewable and Green Energy. $3 309696
650 2 4 $a Computer Communication Networks. $3 218087
700 1 $a Zhang, Shan. $3 750045
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-32721-1
950 $a Engineering (Springer-11647)