Dynamic Interference Optimization in Cognitive Radio Networks for Rural and Suburban Areas
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 fo...
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| Veröffentlicht in: | Wireless communications and mobile computing 2020, Vol.2020 (2020), p.1-16 |
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| creator | Guillen Nieto, Glauco Martens, Luc Deruyck, Margot Plets, David Martinez Alonso, Rodney Joseph, Wout |
| description | 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%. |
| doi_str_mv | 10.1155/2020/2850528 |
| format | Article |
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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%.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2020/2850528</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Access control ; Algorithms ; Cognitive radio ; Cooperation ; Digital broadcasting ; Efficiency ; Interference ; Licenses ; Network management systems ; Optimization ; Propagation ; Quality of service ; Quality standards ; Radio broadcasting ; Rural areas ; Spectrum allocation ; Suburban areas ; Transmitters ; Video broadcasting ; Wireless networks</subject><ispartof>Wireless communications and mobile computing, 2020, Vol.2020 (2020), p.1-16</ispartof><rights>Copyright © 2020 Rodney Martinez Alonso et al.</rights><rights>Copyright © 2020 Rodney Martinez Alonso et al. 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| subjects | Access control Algorithms Cognitive radio Cooperation Digital broadcasting Efficiency Interference Licenses Network management systems Optimization Propagation Quality of service Quality standards Radio broadcasting Rural areas Spectrum allocation Suburban areas Transmitters Video broadcasting Wireless networks |
| title | Dynamic Interference Optimization in Cognitive Radio Networks for Rural and Suburban Areas |
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