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Wireless Traffic Steering For Green Cellular Networks

  • Shan Zhang
  • Ning Zhang
  • Sheng Zhou
  • Zhisheng Niu
  • Xuemin (Sherman) Shen

Table of contents

  1. Front Matter
    Pages i-xi
  2. Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen
    Pages 1-17
  3. Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen
    Pages 19-33
  4. Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen
    Pages 35-55
  5. Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen
    Pages 57-90
  6. Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen
    Pages 91-125
  7. Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen
    Pages 127-128

About this book

Introduction

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.

Keywords

cellular networks dynamic network planning energy harvesting traffic steering green communication heterogeneous networks energy sustainability base station sleeping power control user association resource management on-demand service

Authors and affiliations

  • Shan Zhang
    • 1
  • Ning Zhang
    • 2
  • Sheng Zhou
    • 3
  • Zhisheng Niu
    • 4
  • Xuemin (Sherman) Shen
    • 5
  1. 1.Department of Electronic EngineeringTsinghua UniversityBeijingChina
  2. 2.University of WaterlooWaterlooCanada
  3. 3.Department of Electronic EngineeringTsinghua UniversityBeijingChina
  4. 4.Department of Electronic EngineeringTsinghua UniversityBeijingChina
  5. 5.University of WaterlooWaterlooCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-32721-1
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-32719-8
  • Online ISBN 978-3-319-32721-1
  • Buy this book on publisher's site
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