| Electromagnetic information theory: Fundamentals, modeling, applications, and open problems J Zhu, Z Wan, L Dai, M Debbah, HV Poor IEEE Wireless Communications, 2024 | 39 | 2024 |
| Mutual information for electromagnetic information theory based on random fields Z Wan, J Zhu, Z Zhang, L Dai, CB Chae IEEE Transactions on Communications 71 (4), 1982-1996, 2023 | 37* | 2023 |
| Sensing RISs: Enabling dimension-independent CSI acquisition for beamforming J Zhu, K Liu, Z Wan, L Dai, TJ Cui, HV Poor IEEE Transactions on Information Theory 69 (6), 3795-3813, 2023 | 26 | 2023 |
| Can continuous aperture MIMO obtain more mutual information than discrete MIMO? Z Wan, J Zhu, L Dai IEEE Communications Letters, 2023 | 7 | 2023 |
| On finite-time mutual information J Zhu, Z Zhang, Z Wan, L Dai 2022 IEEE International Symposium on Information Theory (ISIT), 2910-2915, 2022 | 6* | 2022 |
| Can continuous aperture MIMO achieve much better performance than discrete MIMO? Z Wan, J Zhu, L Dai arXiv preprint arXiv:2301.08411, 2023 | 4 | 2023 |
| Performance Comparison Between Continuous Aperture MIMO and Discrete MIMO Z Wan, J Zhu, L Dai GLOBECOM 2023-2023 IEEE Global Communications Conference, 6958-6963, 2023 | 2 | 2023 |
| The Benefits of Electromagnetic Information Theory for Channel Estimation J Zhu, X Su, Z Wan, L Dai, TJ Cui ICC 2024-IEEE International Conference on Communications, 4869-4874, 2024 | 1 | 2024 |
| Can Electromagnetic Information Theory Improve Wireless Systems? A Channel Estimation Example J Zhu, Z Wan, L Dai, TJ Cui arXiv preprint arXiv:2310.12446, 2023 | 1 | 2023 |
| Electromagnetic Information Theory Motivated Near-Field Channel Model Z Wan, J Zhu, L Dai 2024 IEEE International Symposium on Information Theory (ISIT), 1800-1805, 2024 | | 2024 |
| Near-Field Channel Modeling for Electromagnetic Information Theory Z Wan, J Zhu, L Dai arXiv preprint arXiv:2403.12268, 2024 | | 2024 |
Linglong DaiProfessor, Tsinghua University; IEEE Fellow在 tsinghua.edu.cn 的电子邮件经过验证
