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Spectrum Sharing in Cognitive Radio Enabled Smart Grid: A Survey

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Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications (CloudComp 2019, SmartGift 2019)

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Abstract

Smart grid is viewed as the next-generation electric power system to meet the demand of communication and power delivery in an intelligent manner. With large scale deployment of electric power systems, smart grid faces the challenge from large volume data and high spectrum needs. To realize efficient spectrum utilization in the fact of spectrum scarcity, cognitive radio (CR) is involved in smart grid and generates the cognitive radio enabled smart grid. Cognitive radio enabled smart grid coexists with primary network by employing CR technologies including spectrum sensing, sharing, access and so on. Spectrum sharing is an important CR technology which realizes network coexistence without harmful interference through radio resource allocation. In this paper, a comprehensive survey is provided to review the state-of-the-art researches on spectrum sharing in cognitive radio enabled smart grid. We identify the network architecture and communication technology issues of cognitive radio enabled smart gird, and illustrate the investigation of spectrum sharing in different radio resource dimensions to highlight the superiority in efficient spectrum utilization.

This work was supported by the National Natural Science Foundation of China under Grant No. 61901043, and by the Research Fund of Beijing Information Science and Technology University No.1925012, 2019.

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Authors and Affiliations

  1. Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China

    Shuo Chen

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  1. Shuo Chen
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Correspondence to Shuo Chen .

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Editors and Affiliations

  1. Macquarie University, Sydney, NSW, Australia

    Xuyun Zhang

  2. Macquarie University, Sydney, NSW, Australia

    Guanfeng Liu

  3. Pace University, New York, NY, USA

    Meikang Qiu

  4. James Cook University, Cairns, QLD, Australia

    Wei Xiang

  5. James Cook University, Smithfield, QLD, Australia

    Tao Huang

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Chen, S. (2020). Spectrum Sharing in Cognitive Radio Enabled Smart Grid: A Survey. In: Zhang, X., Liu, G., Qiu, M., Xiang, W., Huang, T. (eds) Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. CloudComp SmartGift 2019 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-030-48513-9_50

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  • DOI: https://doi.org/10.1007/978-3-030-48513-9_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-48512-2

  • Online ISBN: 978-3-030-48513-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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