| Analyzing grant-free access for URLLC service Y Liu, Y Deng, M Elkashlan, A Nallanathan, GK Karagiannidis IEEE Journal on Selected Areas in Communications 39 (3), 741-755, 2020 | 156 | 2020 |
| Optimization of grant-free NOMA with multiple configured-grants for mURLLC Y Liu, Y Deng, M Elkashlan, A Nallanathan, GK Karagiannidis IEEE Journal on Selected Areas in Communications 40 (4), 1222-1236, 2022 | 31 | 2022 |
| Analysis of random access in NB-IoT networks with three coverage enhancement groups: A stochastic geometry approach Y Liu, Y Deng, N Jiang, M Elkashlan, A Nallanathan IEEE Transactions on Wireless Communications 20 (1), 549-564, 2020 | 28 | 2020 |
| Machine learning for 6G enhanced ultra-reliable and low-latency services Y Liu, Y Deng, A Nallanathan, J Yuan IEEE Wireless Communications 30 (2), 48-54, 2023 | 23 | 2023 |
| Multi-IRS assisted wireless-powered mobile edge computing for Internet of Things P Chen, B Lyu, Y Liu, H Guo, Z Yang IEEE Transactions on Green Communications and Networking 7 (1), 130-144, 2022 | 18 | 2022 |
| Channel access optimization in unlicensed spectrum for downlink URLLC: Centralized and federated DRL approaches Y Liu, H Zhou, Y Deng, A Nallanathan IEEE Journal on Selected Areas in Communications 41 (7), 2208-2222, 2023 | 9 | 2023 |
| A general deep reinforcement learning framework for grant-free NOMA optimization in mURLLC Y Liu, Y Deng, H Zhou, M Elkashlan, A Nallanathan arXiv preprint arXiv:2101.00515, 2021 | 8 | 2021 |
| Cooperative deep reinforcement learning based grant-free NOMA optimization for mURLLC Y Liu, Y Deng, M Elkashlan, A Nallanathan ICC 2022-IEEE International Conference on Communications, 1-6, 2022 | 7 | 2022 |
| RACH in self-powered NB-IoT networks: Energy availability and performance evaluation Y Liu, Y Deng, M Elkashlan, A Nallanathan, J Yuan, RK Mallik IEEE Transactions on Communications 69 (3), 1750-1764, 2020 | 5 | 2020 |
| Random access performance for three coverage enhancement groups in NB-IoT networks Y Liu, Y Deng, M Elkashlan, A Nallanathan 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 5 | 2019 |
| Markov model based energy harvesting for RACH analysis in NB-IoT network Y Liu, Y Deng, M Elkashlan, A Nallanathan, J Yuan ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-7, 2019 | 3 | 2019 |
| Balancing Performance and Cost for Two-Hop Cooperative Communications: Stackelberg Game and Distributed Multi-Agent Reinforcement Learning Y Geng, E Liu, W Ni, R Wang, Y Liu, H Xu, C Cai, A Jamalipour IEEE Transactions on Cognitive Communications and Networking, 2024 | | 2024 |
| Personalized federated learning via directed acyclic graph based blockchain C Huang, E Liu, R Wang, Y Liu, H Zhang, Y Geng, J Wang, S Han IET Blockchain 4 (1), 73-82, 2024 | | 2024 |
| Multiple Configured-Grants Optimization in Grant-Free NOMA for mURLLC Service Y Liu, Y Deng, M Elkashlan, A Nallanathan, GK Karagiannidis ICC 2022-IEEE International Conference on Communications, 4516-4521, 2022 | | 2022 |
| Deep Reinforcement Learning-based Grant-Free NOMA Optimization for mURLLC N Grant-Free | | |
Arumugam NallanathanProfessor of Wireless Communications, FIEEE, FIET, FAAIA, Web of Science Highly Cited Researcher在 qmul.ac.uk 的电子邮件经过验证
