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

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

22 April 2020

Jithin Jagannath

Tommaso Melodia

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Papers citing "Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning with Deep Unfolding"

9 / 9 papers shown

Title
Language Models Still Struggle to Zero-shot Reason about Time Series Mike A. Merrill Mingtian Tan Vinayak Gupta Tom Hartvigsen Tim Althoff AI4TS LRM 91 31 0 17 Apr 2024
RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth Anu Jagannath Zackary Kane Jithin Jagannath 63 11 0 07 Sep 2022
A Review of the Convergence of 5G/6G Architecture and Deep Learning O. Odeyomi Olubiyi O. Akintade T. Olowu G. Záruba AILaw 3DV AI4TS 40 1 0 16 Aug 2022
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio Jithin Jagannath Kian Hamedani Collin Farquhar Keyvan Ramezanpour Anu Jagannath 57 6 0 09 Apr 2022
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control Jithin Jagannath Keyvan Ramezanpour Anu Jagannath AI4CE 86 31 0 05 Apr 2022
Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression Anu Jagannath Jithin Jagannath 52 28 0 26 Feb 2022
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges Anu Jagannath Jithin Jagannath P. Kumar 53 143 0 03 Jan 2022
Intelligent Zero Trust Architecture for 5G/6G Networks: Principles, Challenges, and the Role of Machine Learning in the context of O-RAN Keyvan Ramezanpour Jithin Jagannath 45 124 0 04 May 2021
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment Jithin Jagannath Anu Jagannath Sean Furman Tyler Gwin 72 25 0 07 Sep 2020