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Redefining Wireless Communication for 6G: Signal Processing Meets Deep
  Learning with Deep Unfolding
v1v2v3v4v5 (latest)

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

22 April 2020
Anu Jagannath
Jithin Jagannath
Tommaso Melodia
    AI4TS
ArXiv (abs)PDFHTML

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

16 / 16 papers shown
Deep Unfolding for MIMO Signal Detection
Deep Unfolding for MIMO Signal Detection
Hangli Ge
Noboru Koshizuka
94
0
0
24 Jul 2025
Survey of Graph Neural Network for Internet of Things and NextG Networks
Survey of Graph Neural Network for Internet of Things and NextG Networks
Sabarish Krishna Moorthy
Jithin Jagannath
272
14
0
27 May 2024
Language Models Still Struggle to Zero-shot Reason about Time Series
Language Models Still Struggle to Zero-shot Reason about Time Series
Mike A. Merrill
Mingtian Tan
Vinayak Gupta
Tom Hartvigsen
Tim Althoff
AI4TSLRM
279
73
0
17 Apr 2024
Optimizing Wireless Networks with Deep Unfolding: Comparative Study on
  Two Deep Unfolding Mechanisms
Optimizing Wireless Networks with Deep Unfolding: Comparative Study on Two Deep Unfolding Mechanisms
Abuzar B. M. Adam
Mohammed A. M. Elhassan
Elhadj Moustapha Diallo
68
1
0
17 Feb 2024
Knowledge-Driven Deep Learning Paradigms for Wireless Network
  Optimization in 6G
Knowledge-Driven Deep Learning Paradigms for Wireless Network Optimization in 6GIEEE Network (IEEE Netw.), 2024
Ruijin Sun
Nan Cheng
Changle Li
Fangjiong Chen
Wen Chen
139
56
0
15 Jan 2024
Deep Unfolded Simulated Bifurcation for Massive MIMO Signal Detection
Deep Unfolded Simulated Bifurcation for Massive MIMO Signal DetectionIEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences (IEICE Trans. Fundam.), 2023
Satoshi Takabe
147
3
0
28 Jun 2023
Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection
Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal DetectionIEEE Wireless Communications Letters (WCL), 2023
Satoshi Takabe
Takashi Abe
120
2
0
09 Feb 2023
Generalization of Deep Reinforcement Learning for Jammer-Resilient
  Frequency and Power Allocation
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power AllocationIEEE Communications Letters (IEEE Commun. Lett.), 2023
Swatantra Kafle
Jithin Jagannath
Zackary Kane
Noor Biswas
P. Kumar
Anu Jagannath
237
1
0
04 Feb 2023
RF Fingerprinting Needs Attention: Multi-task Approach for Real-World
  WiFi and Bluetooth
RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and BluetoothGlobal Communications Conference (GLOBECOM), 2022
Anu Jagannath
Zackary Kane
Jithin Jagannath
234
15
0
07 Sep 2022
A Review of the Convergence of 5G/6G Architecture and Deep Learning
A Review of the Convergence of 5G/6G Architecture and Deep Learning
O. Odeyomi
Olubiyi O. Akintade
T. Olowu
G. Záruba
AILaw3DVAI4TS
201
1
0
16 Aug 2022
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement
  Learning on Embedded Software Defined Radio
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
238
7
0
09 Apr 2022
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G
  Networks: Research Directions for Security and Optimal Control
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
218
37
0
05 Apr 2022
Multi-task Learning Approach for Modulation and Wireless Signal
  Classification for 5G and Beyond: Edge Deployment via Model Compression
Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model CompressionPhysical Communication (Phys. Commun.), 2022
Anu Jagannath
Jithin Jagannath
198
35
0
26 Feb 2022
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting:
  Traditional Approaches, Deep Learning, and Open Challenges
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges
Anu Jagannath
Jithin Jagannath
P. Kumar
294
227
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
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
250
150
0
04 May 2021
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial
  Systems: Roadmap for Theory to Deployment
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment
Jithin Jagannath
Anu Jagannath
Sean Furman
Tyler Gwin
203
26
0
07 Sep 2020
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