Anu Jagannath
Orcid: 0000-0003-4459-5336
According to our database1,
Anu Jagannath
authored at least 31 papers
between 2018 and 2023.
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Bibliography
2023
Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth.
IEEE Trans. Cogn. Commun. Netw., August, 2023
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation.
IEEE Commun. Lett., July, 2023
Security and privacy vulnerabilities of 5G/6G and WiFi 6: Survey and research directions from a coexistence perspective.
Comput. Networks, February, 2023
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, February, 2023
CoRR, 2023
2022
Dataset, October, 2022
RF-Fingerprint-BT-IoT: Real-world Frequency Hopping Bluetooth dataset from IoT devices for RF fingerprinting.
Dataset, September, 2022
Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression.
Phys. Commun., 2022
Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning.
CoRR, 2022
Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks.
CoRR, 2022
A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges.
Comput. Networks, 2022
Design of fieldable cross-layer optimized network using embedded software defined radios: Survey and novel architecture with field trials.
Comput. Networks, 2022
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control.
Proceedings of the WiseML@WiSec 2022: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning, 2022
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio.
Proceedings of the WiseML@WiSec 2022: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning, 2022
RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth.
Proceedings of the IEEE Global Communications Conference, 2022
2021
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment.
Proceedings of the Deep Learning for Unmanned Systems, 2021
Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning With Deep Unfolding.
IEEE Trans. Artif. Intell., 2021
Dataset for modulation classification and signal type classification for multi-task and single task learning.
Comput. Networks, 2021
Proceedings of the 2021 IEEE Military Communications Conference, 2021
Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification.
Proceedings of the ICC 2021, 2021
2020
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment.
CoRR, 2020
High rate-reliability beamformer design for 2x2 MIMO-OFDM system under hostile jamming.
CoRR, 2020
CoRR, 2020
Jam-Guard: Low-Cost, Hand-held Device for First Responders to Detect and Localize Jammers.
Proceedings of the 14th International Conference on Signal Processing and Communication Systems, 2020
High Rate-Reliability Beamformer Design for 2×2 Mimo-OFDM System Under Hostile Jamming.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020
2019
Machine learning for wireless communications in the Internet of Things: A comprehensive survey.
Ad Hoc Networks, 2019
HELPER: Heterogeneous Efficient Low Power Radio for enabling ad hoc emergency public safety networks.
Ad Hoc Networks, 2019
Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Developing a Low Cost, Portable Jammer Detection and Localization Device for First Responders.
Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference, 2019
Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference, 2019
2018
Realizing Data driven and Hampel preprocessor based Adaptive filtering on a Software Defined Radio testbed: A USRP case Study.
Proceedings of the 2018 International Conference on Computing, 2018