Application of Machine Learning in Wireless Networks: Key Techniques and
Open Issues

Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues

24 September 2018

Papers citing "Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues"

18 / 18 papers shown

Title
Deep Learning Based Uplink Multi-User SIMO Beamforming Design Cemil Vahapoglu Tim O'Shea Tamoghna Roy S. Ulukus 16 7 0 28 Sep 2023
Trip Planning for Autonomous Vehicles with Wireless Data Transfer Needs Using Reinforcement Learning Yousef AlSaqabi Bhaskar Krishnamachari 22 2 0 21 Sep 2023
Distilling Knowledge from Resource Management Algorithms to Neural Networks: A Unified Training Assistance Approach Longfei Ma Nan Cheng Xiucheng Wang Zhisheng Yin Haibo Zhou Wei Quan 20 2 0 15 Aug 2023
ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation R. Darbinyan Hrant Khachatrian Rafayel Mkrtchyan Theofanis P. Raptis UQCV 22 7 0 22 Apr 2023
Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled Mobile Communications D. Rizvi David P. Boyle 14 4 0 29 Mar 2023
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms Michele Polese Leonardo Bonati Salvatore D’oro S. Basagni Tommaso Melodia 13 147 0 17 Dec 2021
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments M. Goudarzi M. Palaniswami Rajkumar Buyya OffRL 27 85 0 24 Oct 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach Su Wang Seyyedali Hosseinalipour M. Gorlatova Christopher G. Brinton M. Chiang 30 36 0 29 Jun 2021
AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning Mohammad Parvini M. Javan Nader Mokari B. Abbasi Eduard Axel Jorswieck OffRL 21 55 0 10 May 2021
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni E. Hossain Xin Wang AI4CE 37 111 0 02 Dec 2020
Multi-Agent Reinforcement Learning in NOMA-aided UAV Networks for Cellular Offloading Ruikang Zhong Xiao-Yang Liu Yuanwei Liu Yue Chen 22 47 0 18 Oct 2020
NOMA in UAV-aided cellular offloading: A machine learning approach Ruikang Zhong Xiao-Yang Liu Yuanwei Liu Yue Chen 11 5 0 18 Oct 2020
Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios Adam Dziedzic V. Sathya M. I. Rochman M. Ghosh S. Krishnan 19 19 0 18 Mar 2020
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks Changyang She Rui Dong Zhouyou Gu Zhanwei Hou Yonghui Li Wibowo Hardjawana Chenyang Yang Lingyang Song B. Vucetic AI4TS 14 104 0 22 Feb 2020
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad C. Hong M. Shikh-Bahaei 11 680 0 06 Nov 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Jianwei Yin Schahram Dustdar Albert Y. Zomaya 63 604 0 02 Sep 2019
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art Viet Quoc Pham Fang Fang H. Vu Md. Jalil Piran Mai Le L. Le W. Hwang Z. Ding 21 596 0 20 Jun 2019
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 89 2,171 0 02 Feb 2017