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Collaborative flow control in the DARPA Spectrum Collaboration Challenge

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Abstract
Wireless network technologies are becoming more and more popular. Because of this, important parts of the wireless spectrum become overloaded. Static spectrum allocation, which has been the norm for decades, is not suitable anymore. To maintain the high demand for spectrum and the continuous development of new wireless technologies, there is a need for an intelligent, dynamic spectrum allocation mechanism, where different network technologies collaboratively optimize the spectrum usage. New wireless network paradigms, such as Neutral Host Networks (NHNs) and private 5G, require a smart, spectrum-footprint-aware flow control algorithm to overcome the spectrum scarcity in collaborative way. This article presents a strategy, vision and flow control mechanism to implement collaboration in a Quality of Service (QoS)-driven way. The solution in this article is based on policies which may activate depending on its current and neighbor's network states. Through a flow ordering and selection strategy, these policies optimize the spectrum footprint, based on the performance and QoS-requirements of the own and surrounding networks. The proposed algorithm is tested extensively and validated on a large scale during the DARPA Spectrum Collaboration Challenge (SC2) competition. The results of the SC2 final event and intermediate scrimmages showed that the proposed approach increased the score, indicating increased inter-network collaboration was achieved.
Keywords
MANAGEMENT, 5G, NETWORKS, ACCESS, Collaboration, Quality of service, Wireless sensor networks, Wireless, networks, 5G mobile communication, Optimization, Quality of service, wireless flow control, wireless networks and cellular networks, wireless, spectrum collaboration

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MLA
Mennes, Ruben, et al. “Collaborative Flow Control in the DARPA Spectrum Collaboration Challenge.” IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, vol. 17, no. 4, 2020, pp. 2024–38, doi:10.1109/TNSM.2020.3031078.
APA
Mennes, R., Struye, J., Donato, C., Camelo, M., Jabandžić, I., Giannoulis, S., … Latré, S. (2020). Collaborative flow control in the DARPA Spectrum Collaboration Challenge. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 17(4), 2024–2038. https://doi.org/10.1109/TNSM.2020.3031078
Chicago author-date
Mennes, Ruben, Jakob Struye, Carlos Donato, Miguel Camelo, Irfan Jabandžić, Spilios Giannoulis, Ingrid Moerman, and Steven Latré. 2020. “Collaborative Flow Control in the DARPA Spectrum Collaboration Challenge.” IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 17 (4): 2024–38. https://doi.org/10.1109/TNSM.2020.3031078.
Chicago author-date (all authors)
Mennes, Ruben, Jakob Struye, Carlos Donato, Miguel Camelo, Irfan Jabandžić, Spilios Giannoulis, Ingrid Moerman, and Steven Latré. 2020. “Collaborative Flow Control in the DARPA Spectrum Collaboration Challenge.” IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 17 (4): 2024–2038. doi:10.1109/TNSM.2020.3031078.
Vancouver
1.
Mennes R, Struye J, Donato C, Camelo M, Jabandžić I, Giannoulis S, et al. Collaborative flow control in the DARPA Spectrum Collaboration Challenge. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. 2020;17(4):2024–38.
IEEE
[1]
R. Mennes et al., “Collaborative flow control in the DARPA Spectrum Collaboration Challenge,” IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, vol. 17, no. 4, pp. 2024–2038, 2020.
@article{8685770,
  abstract     = {{Wireless network technologies are becoming more and more popular. Because of this, important parts of the wireless spectrum become overloaded. Static spectrum allocation, which has been the norm for decades, is not suitable anymore. To maintain the high demand for spectrum and the continuous development of new wireless technologies, there is a need for an intelligent, dynamic spectrum allocation mechanism, where different network technologies collaboratively optimize the spectrum usage. New wireless network paradigms, such as Neutral Host Networks (NHNs) and private 5G, require a smart, spectrum-footprint-aware flow control algorithm to overcome the spectrum scarcity in collaborative way. This article presents a strategy, vision and flow control mechanism to implement collaboration in a Quality of Service (QoS)-driven way. The solution in this article is based on policies which may activate depending on its current and neighbor's network states. Through a flow ordering and selection strategy, these policies optimize the spectrum footprint, based on the performance and QoS-requirements of the own and surrounding networks. The proposed algorithm is tested extensively and validated on a large scale during the DARPA Spectrum Collaboration Challenge (SC2) competition. The results of the SC2 final event and intermediate scrimmages showed that the proposed approach increased the score, indicating increased inter-network collaboration was achieved.}},
  author       = {{Mennes, Ruben and Struye, Jakob and Donato, Carlos and Camelo, Miguel and Jabandžić, Irfan and Giannoulis, Spilios and Moerman, Ingrid and Latré, Steven}},
  issn         = {{1932-4537}},
  journal      = {{IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT}},
  keywords     = {{MANAGEMENT,5G,NETWORKS,ACCESS,Collaboration,Quality of service,Wireless sensor networks,Wireless,networks,5G mobile communication,Optimization,Quality of service,wireless flow control,wireless networks and cellular networks,wireless,spectrum collaboration}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{2024--2038}},
  title        = {{Collaborative flow control in the DARPA Spectrum Collaboration Challenge}},
  url          = {{http://dx.doi.org/10.1109/TNSM.2020.3031078}},
  volume       = {{17}},
  year         = {{2020}},
}

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