Wireless traffic steering for green cellular networks [electronic resource] / Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen.
2016
TK5103.2
Formats
| Format | |
|---|---|
| BibTeX | |
| MARCXML | |
| TextMARC | |
| MARC | |
| DublinCore | |
| EndNote | |
| NLM | |
| RefWorks | |
| RIS |
Cite
Citation
Linked e-resources
Linked Resource
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Wireless traffic steering for green cellular networks [electronic resource] / Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen.
ISBN
9783319327211 (electronic book)
3319327216 (electronic book)
9783319327198
3319327216 (electronic book)
9783319327198
Published
Switzerland : Springer, 2016.
Language
English
Description
1 online resource (xi, 128 pages) : illustrations.
Item Number
10.1007/978-3-319-32721-1 doi
Call Number
TK5103.2
Dewey Decimal Classification
621.3845/6
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 15, 2016).
Added Author
Available in Other Form
Linked Resources
Record Appears in
Table of Contents
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.
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.