| Theoretical foundation and design guideline for reservoir computing-based MIMO-OFDM symbol detection S Jere, R Safavinejad, L Liu IEEE Transactions on Communications 71 (9), 5169-5181, 2023 | 7 | 2023 |
| Channel equalization through reservoir computing: A theoretical perspective S Jere, R Safavinejad, L Zheng, L Liu IEEE Wireless Communications Letters 12 (5), 774-778, 2023 | 7 | 2023 |
| O-RAN-enabled Intelligent Network Slicing to Meet Service-Level Agreement (SLA) J Dai, L Li, R Safavinejad, S Mahboob, H Chen, VV Ratnam, H Wang, ... IEEE Transactions on Mobile Computing, 2024 | 2 | 2024 |
| DRL meets DSA networks: Convergence analysis and its application to system design R Safavinejad, HH Chang, L Liu arXiv preprint arXiv:2305.11237, 2023 | 2 | 2023 |
| Dyna-ESN: Efficient Deep Reinforcement Learning for Partially Observable Dynamic Spectrum Access HH Chang, N Mohammadi, R Safavinejad, Y Yi, L Liu IEEE Transactions on Wireless Communications, 2024 | | 2024 |
| Deep Reinforcement Learning for Dynamic Spectrum Access: Convergence Analysis and System Design R Safavinejad, HH Chang, L Liu IEEE Transactions on Wireless Communications, 2024 | | 2024 |
