rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Wireless Traffic Steering For Green Cellular Networks
  name:
    name part: Zhang, Shan.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Zhang, Ning.
    role:
      role term: author.
  name:
    name part: Zhou, Sheng.
    role:
      role term: author.
  name:
    name part: Niu, Zhisheng.
    role:
      role term: author.
  name:
    name part: Shen, Xuemin (Sherman).
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 128 p. 43 illus., 41 illus. in color. online resource.
  abstract: 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.
  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.
  note: by Shan Zhang, Ning Zhang, Sheng Zhou, Zhisheng Niu, Xuemin (Sherman) Shen.
  subject:
    topic: Engineering
  subject:
    topic: Renewable energy resources
  subject:
    topic: Computer communication systems
  subject:
    topic: Electrical engineering
  subject:
    topic: Renewable energy sources
  subject:
    topic: Alternate energy sources
  subject:
    topic: Green energy industries
  subject:
    topic: Engineering
  subject:
    topic: Communications Engineering, Networks
  subject:
    topic: Renewable and Green Energy
  subject:
    topic: Computer Communication Networks
  classification: TK1-9971
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319327211
  identifier: http://dx.doi.org/10.1007/978-3-319-32721-1
  record info:
    record creation date: 160601
    record change date: 20160601074318.0
    record identifier: 978-3-319-32721-1