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2020 – today
- 2024
[j12]Anu Jagannath, Zackary Kane, Jithin Jagannath:
Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices. IEEE Commun. Mag. 62(5): 50-56 (2024)- 2023
- [j11]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: 109515 (2023) - [j10]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: 109489 (2023) - [j9]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): 1789-1793 (2023) - [j8]Anu Jagannath, Jithin Jagannath:
Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth. IEEE Trans. Cogn. Commun. Netw. 9(4): 940-949 (2023) - [i20]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 abs/2302.02250 (2023) - [i19]Anu Jagannath, Zackary Kane, Jithin Jagannath:
Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices. CoRR abs/2303.13538 (2023) - 2022
- [j7]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: 108917 (2022) - [j6]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: 109455 (2022) - [j5]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: 101793 (2022) - [c11]Anu Jagannath, Zackary Kane, Jithin Jagannath:
RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth. GLOBECOM 2022: 4607-4612 - [c10]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: 51-56 - [c9]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: 81-86 - [d2]Anu Jagannath, Jithin Jagannath:
RF-Fingerprint-BT-IoT: Real-world Frequency Hopping Bluetooth dataset from IoT devices for RF fingerprinting. IEEE DataPort, 2022
- [d1]Anu Jagannath, Zackary Kane, Jithin Jagannath:
Real-world Commercial WiFi and Bluetooth Dataset for RF Fingerprinting. IEEE DataPort, 2022 - [i18]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 abs/2201.00680 (2022) - [i17]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 abs/2201.09454 (2022) - [i16]Anu Jagannath, Jithin Jagannath:
Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression. CoRR abs/2203.00517 (2022) - [i15]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 abs/2204.01950 (2022) - [i14]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 abs/2204.04390 (2022) - [i13]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 abs/2204.04507 (2022) - [i12]Collin Farquhar, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath, Jithin Jagannath:
Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning. CoRR abs/2205.06800 (2022) - [i11]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 abs/2206.14997 (2022) - [i10]Anu Jagannath, Zackary Kane, Jithin Jagannath:
RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth. CoRR abs/2209.03142 (2022) - [i9]Anu Jagannath, Jithin Jagannath:
Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth. CoRR abs/2210.02897 (2022) - 2021
- [j4]Anu Jagannath, Jithin Jagannath:
Dataset for modulation classification and signal type classification for multi-task and single task learning. Comput. Networks 199: 108441 (2021) - [j3]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): 528-536 (2021) - [c8]Anu Jagannath, Jithin Jagannath:
Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification. ICC 2021: 1-7 - [c7]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: 927-932 - [p1]Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin:
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment. Deep Learning for Unmanned Systems 2021: 25-82 - [i8]Anu Jagannath, Jithin Jagannath:
Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification. CoRR abs/2101.10254 (2021) - [i7]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 abs/2110.01080 (2021) - 2020
- [c6]Anu Jagannath, Jithin Jagannath, Andrew L. Drozd:
High Rate-Reliability Beamformer Design for 2×2 Mimo-OFDM System Under Hostile Jamming. ICCCN 2020: 1-9 - [c5]Anu Jagannath, Jithin Jagannath:
Jam-Guard: Low-Cost, Hand-held Device for First Responders to Detect and Localize Jammers. ICSPCS 2020: 1-7 - [i6]Anu Jagannath, Jithin Jagannath, Tommaso Melodia:
Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning. CoRR abs/2004.10715 (2020) - [i5]Anu Jagannath, Jithin Jagannath, Andrew L. Drozd:
High rate-reliability beamformer design for 2x2 MIMO-OFDM system under hostile jamming. CoRR abs/2004.14306 (2020) - [i4]Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin:
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment. CoRR abs/2009.03349 (2020)
2010 – 2019
- 2019
- [j2]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: 218-235 (2019) - [j1]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) - [c4]Jithin Jagannath, Sean Furman, Anu Jagannath, Andrew L. Drozd:
Energy Efficient Ad Hoc Networking Devices for Off-the-Grid Public Safety Networks. CCNC 2019: 1-4 - [c3]Anu Jagannath, Jithin Jagannath, Brendan Sheaffer, Andrew L. Drozd:
Developing a Low Cost, Portable Jammer Detection and Localization Device for First Responders. CCNC 2019: 1-4 - [c2]Anu Jagannath, Jithin Jagannath, Andrew L. Drozd:
Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes. GLOBECOM 2019: 1-6 - [i3]Jithin Jagannath, Nicholas Polosky, Anu Jagannath, Francesco Restuccia, Tommaso Melodia:
Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey. CoRR abs/1901.07947 (2019) - [i2]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 abs/1903.08974 (2019) - [i1]Anu Jagannath, Jithin Jagannath, Andrew L. Drozd:
Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes. CoRR abs/1907.09545 (2019) - 2018
- [c1]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: 310-314
Coauthor Index
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last updated on 2024-06-19 21:52 CEST by the dblp team
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