Jithin Jagannath
Orcid: 0000-0002-4059-6481
According to our database1,
Jithin Jagannath
authored at least 47 papers
between 2013 and 2023.
Collaborative distances:
Collaborative distances:
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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
Intelligent zero trust architecture for 5G/6G networks: Principles, challenges, and the role of machine learning in the context of O-RAN.
Comput. Networks, 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
Proceedings of the International Conference on Machine Learning, 2022
RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth.
Proceedings of the IEEE Global Communications Conference, 2022
Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking 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
Intelligent Zero Trust Architecture for 5G/6G Tactical Networks: Principles, Challenges, and the Role of Machine Learning.
CoRR, 2021
Dataset for modulation classification and signal type classification for multi-task and single task learning.
Comput. Networks, 2021
Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning.
Proceedings of the WiseML@WiSec 2021: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, 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
Design and Experimental Evaluation of a Cross-Layer Deadline-Based Joint Routing and Spectrum Allocation Algorithm.
IEEE Trans. Mob. Comput., 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
Proceedings of the 20th IEEE International Symposium on "A World of Wireless, 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
Proceedings of the 2018 International Conference on Computing, 2018
Artificial Neural Network Based Automatic Modulation Classification over a Software Defined Radio Testbed.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
2017
Design and evaluation of hierarchical hybrid automatic modulation classifier using software defined radios.
Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, 2017
2016
COmBAT: Cross-layer Based testbed with Analysis Tool implemented using software defined radios.
Proceedings of the 2016 IEEE Military Communications Conference, 2016
DRS: Distributed Deadline-Based Joint Routing and Spectrum Allocation for Tactical Ad-Hoc Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016
2015
Distributed asynchronous modulation classification based on hybrid maximum likelihood approach.
Proceedings of the 34th IEEE Military Communications Conference, 2015
Framework for automatic signal classification techniques (FACT) for software defined radios.
Proceedings of the 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2015
2014
Multisensor Modulation Classification (MMC): Implementation Considerations - USRP Case Study.
Proceedings of the 2014 IEEE Military Communications Conference, 2014
2013
A hybrid MAC protocol with channel-dependent optimized scheduling for clustered underwater acoustic sensor networks.
Proceedings of the Conference on Underwater Networks and Systems, 2013