WebJul 31, 2024 · Zhijin Qin, Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang Deep learning (DL) has shown the great potentials to break the bottleneck of communication systems. This article provides an overview on the recent advancements in DL-based physical layer communications. WebGeoffrey Li Orthogonal frequency division multiplexing (OFDM) is one of the key technologies that are widely applied in current communication systems. Recently, artificial intelligence...
1 An Overview of Sustainable Green 5G Networks - arXiv
WebMay 11, 2024 · Federated Learning and Wireless Communications. no code implementations • 11 May 2024 • Zhijin Qin, Geoffrey Ye Li, Hao Ye. In contrast to other machine learning tools that require no communication resources, federated learning exploits communications between the central server and the distributed local clients to train and … WebHao Ye. Geoffrey Li. In this article, we develop a decentralized resource allocation mechanism for vehicle-to-vehicle (V2V) communication systems based on deep reinforcement learning. Each V2V ... george brown rep by pop
Geoffrey Ye Li (李烨) - Google Scholar
WebMay 8, 2024 · Le Liang, Hao Ye, Geoffrey Ye Li. This paper investigates the spectrum sharing problem in vehicular networks based on multi-agent reinforcement learning, … WebGeoffrey Ye Li ([email protected]) is currently a professor with the Georgia Institute of Technology (Georgia Tech), Atlanta. His research interests include signal processing … Web1 code implementation • 22 Apr 2024 • Shenglong Zhou , Geoffrey Ye Li One of the crucial issues in federated learning is how to develop efficient optimization algorithms. Federated Learning 2 Paper Code Federated Learning for Energy-limited Wireless Networks: A Partial Model Aggregation Approach george brown programming