Jithin Jagannath

发表

Deep neural network goes lighter: a case study of deep compression techniques on automatic RF modulation recognition for beyond 5G networks

T. Melodia, Anu Jagannath, Jithin Jagannath, 2022, Defense + Commercial Sensing.

Security and Privacy vulnerabilities of 5G/6G and WiFi 6: Survey and Research Directions from a Coexistence Perspective

Keyvan Ramezanpour, Anu Jagannath, Jithin Jagannath, 2022, Comput. Networks.

Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression

Anu Jagannath, Jithin Jagannath, 2022, Phys. Commun..

A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges

Anu Jagannath, Jithin Jagannath, P. Kumar, 2022, ArXiv.

Intelligent zero trust architecture for 5G/6G networks: Principles, challenges, and the role of machine learning in the context of O-RAN

Keyvan Ramezanpour, Jithin Jagannath, 2021, Comput. Networks.

A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges

Anu Jagannath, Jithin Jagannath, P. Kumar, 2022, Comput. Networks.

Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth

Anu Jagannath, Jithin Jagannath, 2022, ArXiv.

Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation

Anu Jagannath, Jithin Jagannath, P. Kumar, 2023, IEEE Communications Letters.

Marconi-Rosenblatt Framework for Intelligent Networks (MR-iNet Gym): For Rapid Design and Implementation of Distributed Multi-agent Reinforcement Learning Solutions for Wireless Networks

Anu Jagannath, Jithin Jagannath, Swatantra Kafle, 2022, Comput. Networks.

MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio

Keyvan Ramezanpour, Anu Jagannath, Jithin Jagannath, 2022, WiseML@WiSec.

Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU pdf

Nicholas Polosky, Sean Furman, Tyler Gwin, 2021, 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC).

Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control

Keyvan Ramezanpour, Anu Jagannath, Jithin Jagannath, 2022, WiseML@WiSec.

Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth

Anu Jagannath, Jithin Jagannath, 2022, IEEE Transactions on Cognitive Communications and Networking.

Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices

Anu Jagannath, Jithin Jagannath, Zackary Kane, 2023, ArXiv.

RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth

Anu Jagannath, Jithin Jagannath, Zackary Kane, 2022, GLOBECOM 2022 - 2022 IEEE Global Communications Conference.

Design of Fieldable Cross-Layer Optimized Network using Embedded Software Defined Radios: Survey and Novel Architecture with Field Trials

Anu Jagannath, Andrew Drozd, Tyler Gwin, 2022, Comput. Networks.

Distributed transmission control for wireless networks using multi-agent reinforcement learning

Anu Jagannath, Jithin Jagannath, P. Kumar, 2022, Defense + Commercial Sensing.

Survey of Graph Neural Network for Internet of Things and NextG Networks

Sabarish Krishna Moorthy, Jithin Jagannath, 2024, ArXiv.