4 citations · 9 across the 7 of their papers we have counts for
5 papers · 1 filter
Survey of Graph Neural Network for Internet of Things and NextG Networks
Sabarish Krishna Moorthy, Jithin Jagannath
The exponential increase in Internet of Things (IoT) devices coupled with 6G pushing towards higher data rates and connected devices has sparked a surge in data. Consequently, harn…
RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth
Anu Jagannath, Zackary Kane, Jithin Jagannath
A novel cross-domain attentional multi-task architecture - xDom - for robust real-world wireless radio frequency (RF) fingerprinting is presented in this work. To the best of our k…
Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning
Collin Farquhar, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath +1
We examine the problem of transmission control, i.e., when to transmit, in distributed wireless communications networks through the lens of multi-agent reinforcement learning. Most…
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio
Jithin Jagannath, Kian Hamedani, Collin Farquhar +2
Dynamic resource allocation plays a critical role in the next generation of intelligent wireless communication systems. Machine learning has been leveraged as a powerful tool to ma…
Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks
Anu Jagannath, Jithin Jagannath, Yanzhi Wang +1
Automatic RF modulation recognition is a primary signal intelligence (SIGINT) technique that serves as a physical layer authentication enabler and automated signal processing schem…