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Machine Learning for Wireless Communications in the Internet of Things:
  A Comprehensive Survey
v1v2 (latest)

Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey

23 January 2019
Jithin Jagannath
Nicholas Polosky
Anu Jagannath
Francesco Restuccia
Tommaso Melodia
ArXiv (abs)PDFHTML

Papers citing "Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey"

33 / 33 papers shown
Title
Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities
Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and OpportunitiesIEEE Open Journal of the Communications Society (IEEE Open J. Commun. Soc.), 2025
Murat Temiz
Y. Zhang
Y. Fu
Chi Zhang
Chenfeng Meng
Orhan Kaplan
Christos Masouros
78
5
0
23 Aug 2025
Autonomous Adaptive Security Framework for 5G-Enabled IoT
Autonomous Adaptive Security Framework for 5G-Enabled IoT
H. Abie
Sandeep Pirbhulal
109
7
0
04 Jun 2024
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
195
9
0
27 May 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and
  Insights
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
142
11
0
07 Dec 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
192
1
0
04 Feb 2023
Multi-Content Time-Series Popularity Prediction with Multiple-Model
  Transformers in MEC Networks
Multi-Content Time-Series Popularity Prediction with Multiple-Model Transformers in MEC NetworksAd hoc networks (AHN), 2022
Zohreh Hajiakhondi-Meybodi
Arash Mohammadi
Ming Hou
E. Rahimian
Shahin Heidarian
J. Abouei
Konstantinos N. Plataniotis
99
16
0
12 Oct 2022
Embedding-Assisted Attentional Deep Learning for Real-World RF
  Fingerprinting of Bluetooth
Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of BluetoothIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2022
Anu Jagannath
Jithin Jagannath
204
23
0
22 Sep 2022
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
214
13
0
07 Sep 2022
Distributed Transmission Control for Wireless Networks using Multi-Agent
  Reinforcement Learning
Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning
Collin Farquhar
P. Kumar
Anu Jagannath
Jithin Jagannath
AI4CE
115
2
0
13 May 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
157
6
0
09 Apr 2022
Deep neural network goes lighter: A case study of deep compression
  techniques on automatic RF modulation recognition for Beyond 5G networks
Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks
Anu Jagannath
Jithin Jagannath
Yanzhi Wang
Tommaso Melodia
138
3
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
183
36
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
190
32
0
26 Feb 2022
Adversarial Jamming for a More Effective Constellation Attack
Adversarial Jamming for a More Effective Constellation AttackInternational Symposium on Antennas, Propagation and EM Theory (ISAPET), 2021
Haidong Xie
Yizhou Xu
Yuanqing Chen
Nan Ji
Shuai Yuan
Naijin Liu
Xueshuang Xiang
132
1
0
20 Jan 2022
Low-Interception Waveform: To Prevent the Recognition of Spectrum
  Waveform Modulation via Adversarial Examples
Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial ExamplesURSI General Assembly and Scientific Symposium (URSI GASS), 2021
Haidong Xie
Jia Tan
Xiaoying Zhang
Nan Ji
Haihua Liao
Zuguo Yu
Xueshuang Xiang
Naijin Liu
AAML
182
2
0
20 Jan 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
203
208
0
03 Jan 2022
Digital Signal Processing Using Deep Neural Networks
Digital Signal Processing Using Deep Neural Networks
Brian Shevitski
Y. Watkins
Nicole Man
Michael Girard
AI4CE
159
4
0
21 Sep 2021
Adversarial Classification of the Attacks on Smart Grids Using Game
  Theory and Deep Learning
Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning
Kian Hamedani
Lingjia Liu
Jithin Jagannath
Yang
Yuhao Yi
AAML
102
3
0
06 Jun 2021
Design and Comparison of Reward Functions in Reinforcement Learning for
  Energy Management of Sensor Nodes
Design and Comparison of Reward Functions in Reinforcement Learning for Energy Management of Sensor Nodes
Yohann Rioual
Y. Moullec
J. Laurent
Muhidul Islam Khan
J. Diguet
21
2
0
02 Jun 2021
Generative Adversarial Networks (GANs) in Networking: A Comprehensive
  Survey & Evaluation
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Hojjat Navidan
P. Moshiri
M. Nabati
Reza Shahbazian
S. Ghorashi
V. Shah-Mansouri
David Windridge
101
105
0
10 May 2021
The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through
  Federated Data-Augmented Radio Fingerprinting
The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio FingerprintingACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2021
Mauro Piva
G. Maselli
Francesco Restuccia
105
23
0
08 May 2021
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
173
142
0
04 May 2021
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review
  of Applications, Techniques, Challenges, and Future Research Directions
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions
Senthil Kumar Jagatheesaperumal
Mohamed Rahouti
Kashif Ahmad
Ala I. Al-Fuqaha
Mohsen Guizani
AI4CE
144
24
0
06 Apr 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey
  and Research Challenges
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research ChallengesACM Computing Surveys (CSUR), 2021
Yoshitomo Matsubara
Marco Levorato
Francesco Restuccia
271
259
0
08 Mar 2021
Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for
  Resilient Wireless Signal Classification
Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for Resilient Wireless Signal Classification
Salvatore D’oro
Francesco Restuccia
Tommaso Melodia
94
12
0
05 Mar 2021
Multi-task Learning Approach for Automatic Modulation and Wireless
  Signal Classification
Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification
Anu Jagannath
Jithin Jagannath
103
37
0
25 Jan 2021
Artificial Intelligence for Satellite Communication: A Review
Artificial Intelligence for Satellite Communication: A Review
Fares Fourati
Mohamed-Slim Alouini
149
138
0
25 Jan 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
148
25
0
07 Sep 2020
Configuration Learning in Underwater Optical Links
Configuration Learning in Underwater Optical Links
Xueyuan Zhao
Z. Qi
D. Pompili
94
1
0
03 Aug 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey
Wiebke Toussaint
Aaron Yi Ding
LRM
169
0
0
29 May 2020
Redefining Wireless Communication for 6G: Signal Processing Meets Deep
  Learning with Deep Unfolding
Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning with Deep Unfolding
Anu Jagannath
Jithin Jagannath
Tommaso Melodia
AI4TS
230
110
0
22 Apr 2020
Machine Learning in the Air
Machine Learning in the AirIEEE Journal on Selected Areas in Communications (JSAC), 2019
Deniz Gunduz
Paul de Kerret
N. Sidiropoulos
David Gesbert
C. Murthy
M. Schaar
AI4CE
109
204
0
28 Apr 2019
Blockchain for the Internet of Things: Present and Future
Blockchain for the Internet of Things: Present and Future
Francesco Restuccia
Salvatore D’oro
Tommaso Melodia
Sajal K. Das
107
50
0
18 Mar 2019
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