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A spectrum sharing framework for intelligent next a generation wireless networks

(2018) IEEE ACCESS. 6. p.60704-60735
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Abstract
The explosive emergence of wireless technologies and standards, covering licensed and unlicensed spectrum bands, has triggered the appearance of a huge amount of wireless technologies, with many of them competing for the same spectrum band instead of harmoniously sharing it. Unfortunately, the wireless spectrum is a scarce resource, and the available frequency bands will not scale with the foreseen demand for new capacity. Certain parts of the spectrum, in particular the license-free ISM bands, are overcrowded, while other parts, mostly licensed bands, may be significantly underutilized. As such, there is a need to introduce more advanced techniques to access and share the wireless medium, either to improve the coordination within a given band or to explore the possibilities of intelligently using unused spectrum in underutilized (e.g., licensed) bands. Therefore, in this paper, we present an open source software-defined radio-based framework that can be employed to devise disruptive techniques to optimize the sub-optimal use of radio spectrum that exists today. We describe three use cases where the framework can be employed along with intelligent algorithms to achieve improved spectrum utilization. In addition, we provide several experimental results showing the performance and effectiveness of the proposed framework.
Keywords
WAVE-FORM, 5G, COEXISTENCE, ACCESS, Next generation wireless networks, cognitive radios, collaborative, intelligent radio networks, spectrum sharing, coexistence, experimental, evaluation

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Citation

Please use this url to cite or link to this publication:

MLA
Pereira de Figueiredo, Felipe Augusto et al. “A Spectrum Sharing Framework for Intelligent Next a Generation Wireless Networks.” IEEE ACCESS 6 (2018): 60704–60735. Print.
APA
Pereira de Figueiredo, F. A., Jiao, X., Liu, W., Mennes, R., Jabandžić, I., & Moerman, I. (2018). A spectrum sharing framework for intelligent next a generation wireless networks. IEEE ACCESS, 6, 60704–60735.
Chicago author-date
Pereira de Figueiredo, Felipe Augusto, Xianjun Jiao, Wei Liu, Ruben Mennes, Irfan Jabandžić, and Ingrid Moerman. 2018. “A Spectrum Sharing Framework for Intelligent Next a Generation Wireless Networks.” Ieee Access 6: 60704–60735.
Chicago author-date (all authors)
Pereira de Figueiredo, Felipe Augusto, Xianjun Jiao, Wei Liu, Ruben Mennes, Irfan Jabandžić, and Ingrid Moerman. 2018. “A Spectrum Sharing Framework for Intelligent Next a Generation Wireless Networks.” Ieee Access 6: 60704–60735.
Vancouver
1.
Pereira de Figueiredo FA, Jiao X, Liu W, Mennes R, Jabandžić I, Moerman I. A spectrum sharing framework for intelligent next a generation wireless networks. IEEE ACCESS. Piscataway: Ieee-inst Electrical Electronics Engineers Inc; 2018;6:60704–35.
IEEE
[1]
F. A. Pereira de Figueiredo, X. Jiao, W. Liu, R. Mennes, I. Jabandžić, and I. Moerman, “A spectrum sharing framework for intelligent next a generation wireless networks,” IEEE ACCESS, vol. 6, pp. 60704–60735, 2018.
@article{8583125,
  abstract     = {The explosive emergence of wireless technologies and standards, covering licensed and unlicensed spectrum bands, has triggered the appearance of a huge amount of wireless technologies, with many of them competing for the same spectrum band instead of harmoniously sharing it. Unfortunately, the wireless spectrum is a scarce resource, and the available frequency bands will not scale with the foreseen demand for new capacity. Certain parts of the spectrum, in particular the license-free ISM bands, are overcrowded, while other parts, mostly licensed bands, may be significantly underutilized. As such, there is a need to introduce more advanced techniques to access and share the wireless medium, either to improve the coordination within a given band or to explore the possibilities of intelligently using unused spectrum in underutilized (e.g., licensed) bands. Therefore, in this paper, we present an open source software-defined radio-based framework that can be employed to devise disruptive techniques to optimize the sub-optimal use of radio spectrum that exists today. We describe three use cases where the framework can be employed along with intelligent algorithms to achieve improved spectrum utilization. In addition, we provide several experimental results showing the performance and effectiveness of the proposed framework.},
  author       = {Pereira de Figueiredo, Felipe Augusto and Jiao, Xianjun and Liu, Wei and Mennes, Ruben and Jabandžić, Irfan and Moerman, Ingrid},
  issn         = {2169-3536},
  journal      = {IEEE ACCESS},
  keywords     = {WAVE-FORM,5G,COEXISTENCE,ACCESS,Next generation wireless networks,cognitive radios,collaborative,intelligent radio networks,spectrum sharing,coexistence,experimental,evaluation},
  language     = {eng},
  pages        = {60704--60735},
  publisher    = {Ieee-inst Electrical Electronics Engineers Inc},
  title        = {A spectrum sharing framework for intelligent next a generation wireless networks},
  url          = {http://dx.doi.org/10.1109/ACCESS.2018.2875047},
  volume       = {6},
  year         = {2018},
}

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