A cloud-based spectrum environment awareness system
Lanqing Li, Daniel Boudreau, R. Paiement, I. Labbe, F. Patenaude, Pascal Chahine, Mingbang Wang, P. Brouillette · 2017
This work presents a cloud-based and bigdata analytics enabled Spectrum Environment Awareness (SEA) system, including its architecture and an initial system prototype. Consisting of heterogeneous and ubiquitous spectrum sensors with learning capabilities, the SEA system aims to characterize, detect and predict the spectrum usage behavior to improve and eventually automate the spectrum regulation and management functions. The paper also describes the spectrum analytics capabilities of the prototype. As an IoT big data application system, SEA engenders a key component in the future spectrum management paradigm.