Jithin Jagannath

Orcid: 0000-0002-4059-6481

According to our database1, Jithin Jagannath authored at least 49 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices.
IEEE Commun. Mag., May, 2024

Survey of Graph Neural Network for Internet of Things and NextG Networks.
CoRR, 2024

Framework for Federated Learning and Edge Deployment of Real-Time Reinforcement Learning Decision Engine on Software Defined Radio.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024

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

2022
Real-world Commercial WiFi and Bluetooth Dataset for RF Fingerprinting.
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

Constrained Offline Policy Optimization.
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

Fieldable Cross-Layer Optimized Embedded Software Defined Radio is Finally Here!
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

Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning.
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

LANET: Visible-light ad hoc networks.
Ad Hoc Networks, 2019

VL-ROUTE: A Cross-Layer Routing Protocol for Visible Light Ad Hoc Network.
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

Energy Efficient Ad Hoc Networking Devices for Off-the-Grid Public Safety Networks.
Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference, 2019

2018
An Opportunistic Medium Access Control Protocol for Visible Light Ad Hoc Networks.
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


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