Authors:
Introduces critical research on energy-efficient traffic steering for green cellular networks
Presents a two-stage energy-aware traffic steering scheme
Demonstrates how to optimize the traffic allocated to each cell via an energy-aware traffic steering method for networks with energy harvesting
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Table of contents (6 chapters)
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Front Matter
About this book
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.
Authors and Affiliations
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Department of Electronic Engineering, Tsinghua University, Beijing, China
Shan Zhang, Sheng Zhou, Zhisheng Niu
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University of Waterloo, Waterloo, Canada
Ning Zhang, Xuemin (Sherman) Shen
Bibliographic Information
Book Title: Wireless Traffic Steering For Green Cellular Networks
Authors: Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen
DOI: https://doi.org/10.1007/978-3-319-32721-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-32719-8Published: 10 June 2016
Softcover ISBN: 978-3-319-81354-7Published: 31 May 2018
eBook ISBN: 978-3-319-32721-1Published: 01 June 2016
Edition Number: 1
Number of Pages: XI, 128
Number of Illustrations: 2 b/w illustrations, 41 illustrations in colour
Topics: Communications Engineering, Networks, Renewable and Green Energy, Computer Communication Networks