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5G Cognitive Wireless Mesh Network Without Common Control Channel

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Cognitive Technologies

Part of the book series: Telecommunications and Information Technology ((TIT))

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Abstract

Collaborative cognitive mesh networks (CCMN) are a potential technology to be adopted in next-generation wireless networks, as it meets key requirements of 5G application scenarios, such as high flexibility and efficient spectrum usage. CCMN is composed of regular cognitive mechanisms and components, such as energy detection-based sensing, and has the ability to switch the data channel to take advantage of any available channels on a given spectrum band. Several cognitive mesh network architectures employ a common control channel (CCC) to perform dynamic channel allocation. Therefore, the multichannel–single interface manager (MC-SIM) algorithm aims to maximize channel usage with a system that does not depend on any CCC. The MC-SIM algorithm was tested in a real scenario and results showed enhanced throughput levels that are 29.5% greater.

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Authors and Affiliations

  1. CPqD Foundation, Campinas, SP, Brazil

    D. Carrillo, R. Takaki, F. Lira Figueiredo & F. Mathilde

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  1. D. Carrillo
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  2. R. Takaki
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  3. F. Lira Figueiredo
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  4. F. Mathilde
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Corresponding author

Correspondence to D. Carrillo .

Editor information

Editors and Affiliations

  1. Chief Research and Development Officer, CPqD, Campinas, São Paulo, Brazil

    Alberto Paradisi

  2. CPqD, Cognitive Computing Division CPqD, Campinas, São Paulo, Brazil

    Alan Godoy Souza Mello

  3. CPqD, Wireless Technologies Division CPqD, Campinas, São Paulo, Brazil

    Fabrício Lira Figueiredo

  4. CPqD, Optical Technologies Division CPqD, Campinas, São Paulo, Brazil

    Rafael Carvalho Figueiredo

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Carrillo, D., Takaki, R., Lira Figueiredo, F., Mathilde, F. (2017). 5G Cognitive Wireless Mesh Network Without Common Control Channel. In: Paradisi, A., Godoy Souza Mello, A., Lira Figueiredo, F., Carvalho Figueiredo, R. (eds) Cognitive Technologies. Telecommunications and Information Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-53753-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-53753-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53752-8

  • Online ISBN: 978-3-319-53753-5

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