TY - GEN
T1 - SC2 CIL
T2 - 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
AU - Stojadinovic, Dragoslav
AU - De Figueiredo, Felipe A.P.
AU - Maddala, Prasanthi
AU - Seskar, Ivan
AU - Trappe, Wade
PY - 2019/11
Y1 - 2019/11
N2 - The Spectrum Collaboration Challenge (SC2) was started by DARPA in 2016 to further expand the research on spectrum usage efficiency, and mitigate the ever-growing problem of spectrum scarcity. Teams that participated in SC2 designed and developed wireless networks, called Collaborative Intelligent Radio networks (CIRNs), to compete with other teams' CIRNs. The scoring system was created to motivate maximizing both their own and other networks' data throughput. To improve the spectrum usage efficiency, teams were encouraged to use Artificial Intelligence, as well as to collaborate with other teams and agree on spectrum usage schedules that work best for all parties. To facilitate this collaboration, DARPA has established the CIRN Interaction Language (CIL) - a language CIRNs can use to communicate with other networks and establish common spectrum goals and ways to achieve them. One of CIL's main functionalities was to enable teams to announce their intended spectrum usage and provide information other teams can use to adapt their own channel selection. While potentially a beneficial concept, CIL's effect on ensemble throughput of all networks was never evaluated, as a proper evaluation framework was never provided by DARPA, since it was not possible to disable it. This paper describes a simplified simulation of the spectrum usage announcement functionality of the CIL, explains the experiments run to evaluate CILs gains, and showcases the obtained results.
AB - The Spectrum Collaboration Challenge (SC2) was started by DARPA in 2016 to further expand the research on spectrum usage efficiency, and mitigate the ever-growing problem of spectrum scarcity. Teams that participated in SC2 designed and developed wireless networks, called Collaborative Intelligent Radio networks (CIRNs), to compete with other teams' CIRNs. The scoring system was created to motivate maximizing both their own and other networks' data throughput. To improve the spectrum usage efficiency, teams were encouraged to use Artificial Intelligence, as well as to collaborate with other teams and agree on spectrum usage schedules that work best for all parties. To facilitate this collaboration, DARPA has established the CIRN Interaction Language (CIL) - a language CIRNs can use to communicate with other networks and establish common spectrum goals and ways to achieve them. One of CIL's main functionalities was to enable teams to announce their intended spectrum usage and provide information other teams can use to adapt their own channel selection. While potentially a beneficial concept, CIL's effect on ensemble throughput of all networks was never evaluated, as a proper evaluation framework was never provided by DARPA, since it was not possible to disable it. This paper describes a simplified simulation of the spectrum usage announcement functionality of the CIL, explains the experiments run to evaluate CILs gains, and showcases the obtained results.
UR - http://www.scopus.com/inward/record.url?scp=85075237328&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075237328&partnerID=8YFLogxK
U2 - 10.1109/DySPAN.2019.8935730
DO - 10.1109/DySPAN.2019.8935730
M3 - Conference contribution
T3 - 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
BT - 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 11 November 2019 through 14 November 2019
ER -