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

23 January 2019

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

20 / 20 papers shown

Title
Autonomous Adaptive Security Framework for 5G-Enabled IoT H. Abie Sandeep Pirbhulal 24 2 0 04 Jun 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 28 7 0 07 Dec 2023
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation Swatantra Kafle Jithin Jagannath Zackary Kane Noor Biswas P. Kumar Anu Jagannath 23 1 0 04 Feb 2023
Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth Anu Jagannath Jithin Jagannath 8 17 0 22 Sep 2022
RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth Anu Jagannath Zackary Kane Jithin Jagannath 31 11 0 07 Sep 2022
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 15 3 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 13 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 12 26 0 26 Feb 2022
Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples Haidong Xie Jia Tan Xiaoying Zhang Nan Ji Haihua Liao Zuguo Yu Xueshuang Xiang Naijin Liu AAML 74 1 0 20 Jan 2022
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges Anu Jagannath Jithin Jagannath P. Kumar 23 131 0 03 Jan 2022
Digital Signal Processing Using Deep Neural Networks Brian Shevitski Y. Watkins Nicole Man Michael Girard AI4CE 13 4 0 21 Sep 2021
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 13 83 0 10 May 2021
The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio Fingerprinting Mauro Piva G. Maselli Francesco Restuccia 6 21 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 Keyvan Ramezanpour Jithin Jagannath 13 112 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 Senthil Kumar Jagatheesaperumal Mohamed Rahouti Kashif Ahmad Ala I. Al-Fuqaha M. Guizani AI4CE 16 19 0 06 Apr 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 22 199 0 08 Mar 2021
Artificial Intelligence for Satellite Communication: A Review Fares Fourati Mohamed-Slim Alouini 35 108 0 25 Jan 2021
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 89 2,169 0 02 Feb 2017
Learning to Decode Linear Codes Using Deep Learning Eliya Nachmani Yair Be’ery D. Burshtein 81 456 0 16 Jul 2016
Cognitive Internet of Things: A New Paradigm beyond Connection Qi-hui Wu Guoru Ding Yuhua Xu S. Feng Zhiyong Du Jinlong Wang Keping Long 35 498 0 11 Mar 2014