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Cloud Based 5G Wireless Networks pp 59–68Cite as

Green Wireless Networks

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Abstract

In order to improve the resource and energy efficiency of the mobile cellular networks, the architecture of green wireless networks are proposed. Based on the advanced technologies of cognitive engine with learning and decision capabilities as well as the interaction with SDN controller, a complete intelligent SDN system is available. New networking convergence architecture for future heterogeneous cellular networks based on the cognitive SDN can be expected. Wireless access network and core network will be unified under this novel architecture. In wireless access area, this chapter investigates the technology of control and data decoupling, uplink and downlink decoupling, dynamic resource adaptation with the control, and coordination of intelligent SDN controller, increasing both spectrum efficiency and energy efficiency.

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Authors and Affiliations

  1. School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, Hubei, China

    Yin Zhang

  2. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan City, China

    Min Chen

Authors
  1. Yin Zhang
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  2. Min Chen
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Zhang, Y., Chen, M. (2016). Green Wireless Networks. In: Cloud Based 5G Wireless Networks. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-47343-7_5

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  • DOI: https://doi.org/10.1007/978-3-319-47343-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47342-0

  • Online ISBN: 978-3-319-47343-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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