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Dynamic interference optimization in cognitive radio networks for rural and suburban areas

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Abstract
In this paper, we investigate the coexistence of cognitive radio networks on TV white spaces for rural and suburban connectivity. Although experimental models and laboratory measurements defined the maximum interference threshold for TV white space technologies for general use cases, our research found that in real wireless rural and suburban scenarios, severe interference to the broadcasting services might occur. This is particularly relevant when the traffic load of the telecom base stations (BSs) exceeds 80% of their maximum capacity. We propose a dynamic management algorithm for minimizing the interference, based on a centralized access control architecture for cognitive radio wireless networks. In an experimental emulation for assessing the impact of cognitive radio interference on the broadcasting service's QoE, our method reduced the perceived video distortion by the broadcasting users by at least 50% and 27.5% in a rural and suburban scenario, respectively, while the spectrum usage is increased by just 8%.
Keywords
TV WHITE SPACE, SCHEME

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MLA
Martinez Alonso, Rodney, et al. “Dynamic Interference Optimization in Cognitive Radio Networks for Rural and Suburban Areas.” WIRELESS COMMUNICATIONS & MOBILE COMPUTING, vol. 2020, 2020, doi:10.1155/2020/2850528.
APA
Martinez Alonso, R., Plets, D., Deruyck, M., Martens, L., Guillen Nieto, G., & Joseph, W. (2020). Dynamic interference optimization in cognitive radio networks for rural and suburban areas. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2020. https://doi.org/10.1155/2020/2850528
Chicago author-date
Martinez Alonso, Rodney, David Plets, Margot Deruyck, Luc Martens, Glauco Guillen Nieto, and Wout Joseph. 2020. “Dynamic Interference Optimization in Cognitive Radio Networks for Rural and Suburban Areas.” WIRELESS COMMUNICATIONS & MOBILE COMPUTING 2020. https://doi.org/10.1155/2020/2850528.
Chicago author-date (all authors)
Martinez Alonso, Rodney, David Plets, Margot Deruyck, Luc Martens, Glauco Guillen Nieto, and Wout Joseph. 2020. “Dynamic Interference Optimization in Cognitive Radio Networks for Rural and Suburban Areas.” WIRELESS COMMUNICATIONS & MOBILE COMPUTING 2020. doi:10.1155/2020/2850528.
Vancouver
1.
Martinez Alonso R, Plets D, Deruyck M, Martens L, Guillen Nieto G, Joseph W. Dynamic interference optimization in cognitive radio networks for rural and suburban areas. WIRELESS COMMUNICATIONS & MOBILE COMPUTING. 2020;2020.
IEEE
[1]
R. Martinez Alonso, D. Plets, M. Deruyck, L. Martens, G. Guillen Nieto, and W. Joseph, “Dynamic interference optimization in cognitive radio networks for rural and suburban areas,” WIRELESS COMMUNICATIONS & MOBILE COMPUTING, vol. 2020, 2020.
@article{8672730,
  abstract     = {{In this paper, we investigate the coexistence of cognitive radio networks on TV white spaces for rural and suburban connectivity. Although experimental models and laboratory measurements defined the maximum interference threshold for TV white space technologies for general use cases, our research found that in real wireless rural and suburban scenarios, severe interference to the broadcasting services might occur. This is particularly relevant when the traffic load of the telecom base stations (BSs) exceeds 80% of their maximum capacity. We propose a dynamic management algorithm for minimizing the interference, based on a centralized access control architecture for cognitive radio wireless networks. In an experimental emulation for assessing the impact of cognitive radio interference on the broadcasting service's QoE, our method reduced the perceived video distortion by the broadcasting users by at least 50% and 27.5% in a rural and suburban scenario, respectively, while the spectrum usage is increased by just 8%.}},
  articleno    = {{2850528}},
  author       = {{Martinez Alonso, Rodney and Plets, David and Deruyck, Margot and Martens, Luc and Guillen Nieto, Glauco and Joseph, Wout}},
  issn         = {{1530-8669}},
  journal      = {{WIRELESS COMMUNICATIONS & MOBILE COMPUTING}},
  keywords     = {{TV WHITE SPACE,SCHEME}},
  language     = {{eng}},
  pages        = {{16}},
  title        = {{Dynamic interference optimization in cognitive radio networks for rural and suburban areas}},
  url          = {{http://dx.doi.org/10.1155/2020/2850528}},
  volume       = {{2020}},
  year         = {{2020}},
}

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