Anu Jagannath

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 44

Top Topics

Software Defined Radio

Wireless Communication

Top Venues

Comput. Networks

Ad Hoc Networks

Publications

Anu Jagannath, Zackary Kane, Jithin Jagannath
Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices. IEEE Commun. Mag. 62 (5) (2024)
Collin Farquhar, Swatantra Kafle, Kian Hamedani, Anu Jagannath, Jithin Jagannath
Marconi-Rosenblatt Framework for Intelligent Networks (MR-iNet Gym): For Rapid Design and Implementation of Distributed Multi-agent Reinforcement Learning Solutions for Wireless Networks. Comput. Networks 222 (2023)
Keyvan Ramezanpour, Jithin Jagannath, Anu Jagannath
Security and privacy vulnerabilities of 5G/6G and WiFi 6: Survey and research directions from a coexistence perspective. Comput. Networks 221 (2023)
Anu Jagannath, Jithin Jagannath
Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth. IEEE Trans. Cogn. Commun. Netw. 9 (4) (2023)
Swatantra Kafle, Jithin Jagannath, Zackary Kane, Noor Biswas, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation. CoRR (2023)
Swatantra Kafle, Jithin Jagannath, Zackary Kane, Noor Biswas, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation. IEEE Commun. Lett. 27 (7) (2023)
Anu Jagannath, Zackary Kane, Jithin Jagannath
Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices. CoRR (2023)
Jithin Jagannath, Anu Jagannath, Justin Henney, Tyler Gwin, Zackary Kane, Noor Biswas, Andrew L. Drozd
Design of Fieldable Cross-Layer Optimized Network using Embedded Software Defined Radios: Survey and Novel Architecture with Field Trials. CoRR (2022)
Keyvan Ramezanpour, Jithin Jagannath, Anu Jagannath
Security and Privacy vulnerabilities of 5G/6G and WiFi 6: Survey and Research Directions from a Coexistence Perspective. CoRR (2022)
Anu Jagannath, Jithin Jagannath
Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression. Phys. Commun. 54 (2022)
Anu Jagannath, Jithin Jagannath
Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression. CoRR (2022)
Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio. WiseML@WiSec (2022)
Anu Jagannath, Zackary Kane, Jithin Jagannath
RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth. CoRR (2022)
Collin Farquhar, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath, Jithin Jagannath
Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning. CoRR (2022)
Anu Jagannath, Jithin Jagannath
Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth. CoRR (2022)
Jithin Jagannath, Anu Jagannath, Justin Henney, Tyler Gwin, Zackary Kane, Noor Biswas, Andrew L. Drozd
Design of fieldable cross-layer optimized network using embedded software defined radios: Survey and novel architecture with field trials. Comput. Networks 209 (2022)
Anu Jagannath, Zackary Kane, Jithin Jagannath
RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth. GLOBECOM (2022)
Jithin Jagannath, Keyvan Ramezanpour, Anu Jagannath
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control. CoRR (2022)
Anu Jagannath, Jithin Jagannath, Prem Sagar Pattanshetty Vasanth Kumar
A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges. Comput. Networks 219 (2022)
Jithin Jagannath, Keyvan Ramezanpour, Anu Jagannath
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control. WiseML@WiSec (2022)
Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio. CoRR (2022)
Anu Jagannath, Jithin Jagannath, Prem Sagar Pattanshetty Vasanth Kumar
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges. CoRR (2022)
Anu Jagannath, Jithin Jagannath, Yanzhi Wang, Tommaso Melodia
Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks. CoRR (2022)
Jithin Jagannath, Anu Jagannath, Justin Henney, Noor Biswas, Tyler Gwin, Zackary Kane, Andrew L. Drozd
Fieldable Cross-Layer Optimized Embedded Software Defined Radio is Finally Here! MILCOM (2021)
Anu Jagannath, Jithin Jagannath
Dataset for modulation classification and signal type classification for multi-task and single task learning. Comput. Networks 199 (2021)
Anu Jagannath, Jithin Jagannath
Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification. CoRR (2021)
Anu Jagannath, Jithin Jagannath, Tommaso Melodia
Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning With Deep Unfolding. IEEE Trans. Artif. Intell. 2 (6) (2021)
Jithin Jagannath, Anu Jagannath, Justin Henney, Noor Biswas, Tyler Gwin, Zackary Kane, Andrew L. Drozd
Fieldable Cross-Layer Optimized Embedded Software Defined Radio is Finally Here! CoRR (2021)
Anu Jagannath, Jithin Jagannath
Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification. ICC (2021)
Anu Jagannath, Jithin Jagannath, Andrew L. Drozd
High rate-reliability beamformer design for 2x2 MIMO-OFDM system under hostile jamming. CoRR (2020)
Anu Jagannath, Jithin Jagannath, Andrew L. Drozd
Breaking the Bound: Rate-2, Full Diversity, Orthogonal MIMO-STBC Transceiver Design. CoRR (2020)
Anu Jagannath, Jithin Jagannath, Tommaso Melodia
Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning. CoRR (2020)
Anu Jagannath, Jithin Jagannath, Andrew L. Drozd
High Rate-Reliability Beamformer Design for 2×2 Mimo-OFDM System Under Hostile Jamming. ICCCN (2020)
Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment. CoRR (2020)
Anu Jagannath, Jithin Jagannath
Jam-Guard: Low-Cost, Hand-held Device for First Responders to Detect and Localize Jammers. ICSPCS (2020)
Jithin Jagannath, Sean Furman, Anu Jagannath, Luther Ling, Andrew Burger, Andrew L. Drozd
HELPER: Heterogeneous Efficient Low Power Radio for Enabling Ad Hoc Emergency Public Safety Networks. CoRR (2019)
Jithin Jagannath, Nicholas Polosky, Anu Jagannath, Francesco Restuccia, Tommaso Melodia
Machine learning for wireless communications in the Internet of Things: A comprehensive survey. Ad Hoc Networks 93 (2019)
Anu Jagannath, Jithin Jagannath, Andrew L. Drozd
Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes. GLOBECOM (2019)
Jithin Jagannath, Sean Furman, Anu Jagannath, Luther Ling, Andrew Burger, Andrew L. Drozd
HELPER: Heterogeneous Efficient Low Power Radio for enabling ad hoc emergency public safety networks. Ad Hoc Networks 89 (2019)
Jithin Jagannath, Nicholas Polosky, Anu Jagannath, Francesco Restuccia, Tommaso Melodia
Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey. CoRR (2019)
Anu Jagannath, Jithin Jagannath, Brendan Sheaffer, Andrew L. Drozd
Developing a Low Cost, Portable Jammer Detection and Localization Device for First Responders. CCNC (2019)
Anu Jagannath, Jithin Jagannath, Andrew L. Drozd
Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes. CoRR (2019)
Jithin Jagannath, Sean Furman, Anu Jagannath, Andrew L. Drozd
Energy Efficient Ad Hoc Networking Devices for Off-the-Grid Public Safety Networks. CCNC (2019)
Anu Jagannath, Ashwin Amanna
Realizing Data driven and Hampel preprocessor based Adaptive filtering on a Software Defined Radio testbed: A USRP case Study. ICNC (2018)