2018 MILCOM

29 Oct 18

9:40 AM - 12:00 PM

Tracks: Track 5: Big Data and ML for Tactical Networks, Unclassified Technical Paper Sessions

Long Short-term Memory for Radio Frequency Spectral Prediction and Its Real-time FPGA Implementation: Siddhartha Siddhartha (The University of Sydney, Australia); Yee Hui Lee (Universiti Teknologi Malaysia, Malaysia); Duncan Moss and Julian Faraone (The University of Sydney, Australia); Perry Blackmore and Daniel Salmond (Defence Science and Technology Group, Australia); David Boland and Philip Leong (The University of Sydney, Australia)
Band Assignment in Dual Band Systems: A Learning-based Approach: Daoud Burghal, Rui Wang and Andreas Molisch (University of Southern California, USA)
Reinforcement Learning for Quality of Experience Optimization in Tactical Networks: Gerome Bovet (Armasuisse, Switzerland); Kevin S Chan (US Army Research Laboratory, USA)
15-min session break
Hierarchical Modulation Classification Using Deep Learning: Garrett Vanhoy, Noah Thurston, Andrew Burger, Jacob Breckenridge and Tamal Bose (University of Arizona, USA)
Clustering Learned CNN Features from Raw I/Q Data for Emitter Identification: Lauren J Wong (Virginia Tech Hume Center, USA); William C Headley (Virginia Tech & Hume Center, USA); Seth Andrews (Virgina Tech, USA); Ryan Gerdes (Virginia Tech, USA); Alan J Michaels (Virginia Tech & Hume Center for National Security and Technology, USA)