Dynamic Spectrum Access

Hidden Node-Aware Dynamic Spectrum Access using Deep Learning for Coexisting Aeronautical Communication Systems

We propose a novel approach based on deep learning to address the hidden node problem which occurs in the coexistence of aeronautical communication standards. The modern aeronautical communication standard L-band Digital Aeronautical Communications …

Deep Learning-Based Dynamic Spectrum Access for Coexistence of Aeronautical Communication Systems

In aeronautical communications, legacy systems often only use a small fraction of their historically assigned frequency spectra sparsely over time. Novel systems such as L-band Digital Aeronautical Communications System (LDACS) Air-Air (A/A) need to …

Time- and Frequency-Domain Dynamic Spectrum Access: Learning Cyclic Medium Access Patterns in Partially Observable Environments

Upcoming communication systems increasingly often tackle the spectrum scarcity problem through the coexistence with legacy systems in the same frequency band. Cognitive Radio presents popular methods for Dynamic Spectrum Access (DSA) that enable …