Yonghui Li

A Learning Approach to Cooperative Communication System Design

2020

The cooperative relay network is a type of multi-terminal communication system. We present in this paper a Neural Network (NN)-based autoencoder (AE) approach to optimize its design. This approach implements a classical three-node cooperative system …

Deep Autoencoder Learning for Relay-Assisted Cooperative Communication Systems

2020 · IEEE Transactions on Communications

Emerging recently as a novel concept in communication system design, end-to-end learning introduces deep neural networks (NNs) to represent the transmitter and receiver functions. Consequently, the whole system can be interpreted as an autoencoder (AE), …

A Multi-Modal Modulation Recognition Method with SNR Segmentation Based on Time Domain Signals and Constellation Diagrams

2023 · Electronics

Deep-learning-based automatic modulation recognition (AMR) has recently attracted significant interest due to its high recognition accuracy and the lack of a need to manually set classification standards. However, it is extremely challenging to achieve a …

Hybrid-Task Meta-Learning: A GNN Approach for Scalable and Transferable Bandwidth Allocation

2023 · arXiv (Cornell University)

In this paper, we develop a deep learning-based bandwidth allocation policy that is: 1) scalable with the number of users and 2) transferable to different communication scenarios, such as non-stationary wireless channels, different quality-of-service (QoS) …