Anu Jagannath

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Ultra-Wideband Printed Monopole Antenna for WLAN & Satellite Communication

G. Prasad, K. Kumar, Anu Jagannath, 2017 .

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.

Neural Networks for Signal Intelligence

Tommaso Melodia, Anu Jagannath, Jithin Jagannath, 2020 .

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.

Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment pdf

Anu Jagannath, Jithin Jagannath, Sean Furman, 2020, Deep Learning for Unmanned Systems.

Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning With Deep Unfolding pdf

Tommaso Melodia, Anu Jagannath, Jithin Jagannath, 2020, IEEE Transactions on Artificial Intelligence.

Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification

Anu Jagannath, Jithin Jagannath, Anu Jagannath, 2021, ICC 2021 - IEEE International Conference on Communications.

Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey

Tommaso Melodia, Anu Jagannath, Jithin Jagannath, 2019, Ad Hoc Networks.

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.

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.

HELPER: Heterogeneous Efficient Low Power Radio for Enabling Ad Hoc Emergency Public Safety Networks pdf

Andrew L. Drozd, Anu Jagannath, Jithin Jagannath, 2019, Ad Hoc Networks.

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.