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Wireless Traffic Steering For Green Cellular Networks

  • Book
  • © 2016

Overview

Authors:
  1. Shan Zhang

    1. Department of Electronic Engineering, Tsinghua University, Beijing, China

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  2. Ning Zhang

    1. University of Waterloo, Waterloo, Canada

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  3. Sheng Zhou

    1. Department of Electronic Engineering, Tsinghua University, Beijing, China

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  4. Zhisheng Niu

    1. Department of Electronic Engineering, Tsinghua University, Beijing, China

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  5. Xuemin (Sherman) Shen

    1. University of Waterloo, Waterloo, Canada

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  • 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)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Introduction

    • Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen
    Pages 1-17

  3. Literature Review on Green Communications

    • Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen
    Pages 19-33

  4. Dynamic Network Planning with Intra-Tier Traffic Steering

    • Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen
    Pages 35-55

  5. Dynamic Network Planning with Inter-Tier Traffic Steering

    • Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen
    Pages 57-90

  6. Inter-Tier Traffic Steering with Renewable Energy Harvesting

    • Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen
    Pages 91-125

  7. Concluding Remarks

    • Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen
    Pages 127-128
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Keywords

About this book

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.


Authors and Affiliations

  • Department of Electronic Engineering, Tsinghua University, Beijing, China

    Shan Zhang, Sheng Zhou, Zhisheng Niu

  • 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

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