Multi-label learning based antenna selection in massive MIMO systems W Yu, T Wang, S Wang IEEE Transactions on Vehicular Technology 70 (7), 7255-7260, 2021 | 30 | 2021 |
Hybrid far- and near-field channel estimation for THz ultra-massive MIMO via fixed point networks W Yu, Y Shen, H He, X Yu, J Zhang, KB Letaief GLOBECOM 2022-2022 IEEE Global Communications Conference, 5384-5389, 2022 | 21 | 2022 |
An adaptive and robust deep learning framework for THz ultra-massive MIMO channel estimation W Yu, Y Shen, H He, X Yu, S Song, J Zhang, KB Letaief IEEE Journal of Selected Topics in Signal Processing, 2023 | 20 | 2023 |
Inter-slice radio resource management via online convex optimization T Wang, W Yu, S Wang ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 6 | 2021 |
Blind performance prediction for deep learning based ultra-massive MIMO channel estimation W Yu, H He, X Yu, S Song, J Zhang, KB Letaief ICC 2023-IEEE International Conference on Communications, 2613-2618, 2023 | 5 | 2023 |
Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework H Li, W Yu, H He, J Shao, S Song, J Zhang, KB Letaief GLOBECOM 2023-2023 IEEE Global Communications Conference, 1-6, 2023 | 5 | 2023 |
AI-native transceiver design for near-field ultra-massive MIMO: Principles and techniques W Yu, Y Ma, H He, S Song, J Zhang, KB Letaief arXiv preprint arXiv:2309.09575, 2023 | 4 | 2023 |
Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO W Yu, H He, X Yu, S Song, J Zhang, RD Murch, KB Letaief arXiv preprint arXiv:2312.10438, 2023 | 1 | 2023 |
Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments W Yu, H He, X Yu, S Song, J Zhang, RD Murch, KB Letaief ICC 2024-IEEE International Conference on Communications, 1-6, 2023 | 1 | 2023 |
Lightweight and Flexible Deep Equilibrium Learning for CSI Feedback in FDD Massive MIMO Y Ma, W Yu, X Yu, J Zhang, S Song, KB Letaief ICMLCN 2024-IEEE International Conference on Machine Learning for …, 2022 | | 2022 |