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Dataset for modulation classification and signal type classification for multi-task and single task learning

Computer networks (Amsterdam, Netherlands : 1999), 2021-11, Vol.199, p.108441, Article 108441

2021

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Machine learning for wireless communications in the Internet of Things: A comprehensive survey

Ad hoc networks, 2019-10, Vol.93, p.101913, Article 101913

2019

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Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression

Physical communication, 2022-10, Vol.54, p.101793, Article 101793

2022

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

IEEE transactions on artificial intelligence, 2021-12, Vol.2 (6), p.528-536

2021

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Security and privacy vulnerabilities of 5G/6G and WiFi 6: Survey and research directions from a coexistence perspective

Computer networks (Amsterdam, Netherlands : 1999), 2023-02, Vol.221, p.109515, Article 109515

2023

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A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges

Computer networks (Amsterdam, Netherlands : 1999), 2022-12, Vol.219, Article 109455

2022

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Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth

IEEE transactions on cognitive communications and networking, 2023-08, Vol.9 (4), p.940-949

2023

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Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification

ICC 2021 - IEEE International Conference on Communications, 2021, p.1-7

2021

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Marconi-Rosenblatt Framework for Intelligent Networks (MR-iNet Gym): For Rapid Design and Implementation of Distributed Multi-agent Reinforcement Learning Solutions for Wireless Networks

Computer networks (Amsterdam, Netherlands : 1999), 2023-02, Vol.222, p.109489, Article 109489

2023

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A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges

Computer networks (Amsterdam, Netherlands : 1999), 2022-12, Vol.219, p.109455, Article 109455

2022

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Deep Learning at the Edge for FutureG Networks: RF Signal Intelligence for Comprehensive Spectrum Awareness

Jagannath, Anu

2024

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Design of fieldable cross-layer optimized network using embedded software defined radios: Survey and novel architecture with field trials

Computer networks (Amsterdam, Netherlands : 1999), 2022-05, Vol.209, p.108917, Article 108917

2022

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Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation

IEEE communications letters, 2023-07, Vol.27 (7), p.1-1

2023

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HELPER: Heterogeneous Efficient Low Power Radio for enabling ad hoc emergency public safety networks

Ad hoc networks, 2019-06, Vol.89, p.218-235

2019

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High Rate-Reliability Beamformer Design for 2×2 Mimo-OFDM System Under Hostile Jamming

2020 29th International Conference on Computer Communications and Networks (ICCCN), 2020, p.1-9

2020

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Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment

Deep Learning for Unmanned Systems, 2021, p.25-82

2021

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

MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM), 2021, p.927-932

2021

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Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control

Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning, 2022, p.81-86

2022

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Jam-Guard: Low-Cost, Hand-held Device for First Responders to Detect and Localize Jammers

2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS), 2020, p.1-7

2020

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RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth

GLOBECOM 2022 - 2022 IEEE Global Communications Conference, 2022, p.4607-4612

2022

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MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio

Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning, 2022, p.51-56

2022

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Realizing Data driven and Hampel preprocessor based Adaptive filtering on a Software Defined Radio testbed: A USRP case Study

2018 International Conference on Computing, Networking and Communications (ICNC), 2018, p.310-314

2018

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Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes

2019 IEEE Global Communications Conference (GLOBECOM), 2019, p.1-6

2019

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Artificial Intelligence-based Cognitive Cross-layer Decision Engine for Next-Generation Space Mission

2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW), 2019, p.1-6

2019

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Developing a Low Cost, Portable Jammer Detection and Localization Device for First Responders

2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2019, p.1-4

2019

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Dataset for modulation classification and signal type classification for multi-task and single task learning

Machine learning for wireless communications in the Internet of Things: A comprehensive survey

Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression

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

Security and privacy vulnerabilities of 5G/6G and WiFi 6: Survey and research directions from a coexistence perspective

A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges

Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth

Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification

Marconi-Rosenblatt Framework for Intelligent Networks (MR-iNet Gym): For Rapid Design and Implementation of Distributed Multi-agent Reinforcement Learning Solutions for Wireless Networks

A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges

Deep Learning at the Edge for FutureG Networks: RF Signal Intelligence for Comprehensive Spectrum Awareness

Design of fieldable cross-layer optimized network using embedded software defined radios: Survey and novel architecture with field trials

Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation

HELPER: Heterogeneous Efficient Low Power Radio for enabling ad hoc emergency public safety networks

High Rate-Reliability Beamformer Design for 2×2 Mimo-OFDM System Under Hostile Jamming

Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment

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

Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control

Jam-Guard: Low-Cost, Hand-held Device for First Responders to Detect and Localize Jammers

RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth

MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio

Realizing Data driven and Hampel preprocessor based Adaptive filtering on a Software Defined Radio testbed: A USRP case Study

Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes

Artificial Intelligence-based Cognitive Cross-layer Decision Engine for Next-Generation Space Mission

Developing a Low Cost, Portable Jammer Detection and Localization Device for First Responders

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