| Fog-computing-based radio access networks: Issues and challenges M Peng, S Yan, K Zhang, C Wang Ieee Network 30 (4), 46-53, 2016 | 709 | 2016 |
| Deep-reinforcement-learning-based mode selection and resource allocation for cellular V2X communications X Zhang, M Peng, S Yan, Y Sun IEEE Internet of Things Journal 7 (7), 6380-6391, 2019 | 188 | 2019 |
| Ergodic capacity analysis of remote radio head associations in cloud radio access networks M Peng, S Yan, HV Poor IEEE Wireless Communications Letters 3 (4), 365-368, 2014 | 145 | 2014 |
| A game theory approach for joint access selection and resource allocation in UAV assisted IoT communication networks S Yan, M Peng, X Cao IEEE Internet of Things Journal 6 (2), 1663-1674, 2018 | 118 | 2018 |
| Hierarchical radio resource allocation for network slicing in fog radio access networks Y Sun, M Peng, S Mao, S Yan IEEE Transactions on Vehicular Technology 68 (4), 3866-3881, 2019 | 89 | 2019 |
| A realization of fog-RAN slicing via deep reinforcement learning H Xiang, S Yan, M Peng IEEE Transactions on Wireless Communications 19 (4), 2515-2527, 2020 | 62 | 2020 |
| An evolutionary game for user access mode selection in fog radio access networks S Yan, M Peng, MA Abana, W Wang IEEE Access 5, 2200-2210, 2017 | 59 | 2017 |
| Mode selection and resource allocation in sliced fog radio access networks: A reinforcement learning approach H Xiang, M Peng, Y Sun, S Yan IEEE Transactions on Vehicular Technology 69 (4), 4271-4284, 2020 | 58 | 2020 |
| User access mode selection in fog computing based radio access networks S Yan, M Peng, W Wang 2016 IEEE International Conference on communications (ICC), 1-6, 2016 | 56 | 2016 |
| Learning based joint cache and power allocation in fog radio access networks GMS Rahman, M Peng, S Yan, T Dang IEEE Transactions on Vehicular Technology 69 (4), 4401-4411, 2020 | 49 | 2020 |
| Inter-tier interference suppression in heterogeneous cloud radio access networks M Peng, H Xiang, Y Cheng, S Yan, HV Poor IEEE Access 3, 2441-2455, 2015 | 40 | 2015 |
| Interference management in 6G space and terrestrial integrated networks: Challenges and approaches S Yan, X Cao, Z Liu, X Liu Intelligent and Converged Networks 1 (3), 271-280, 2020 | 33 | 2020 |
| Interference coordination in heterogeneous small-cell networks: A coalition formation game approach M Ahmed, M Peng, M Abana, S Yan, C Wang IEEE Systems Journal 12 (1), 604-615, 2015 | 33 | 2015 |
| Joint access mode selection and spectrum allocation for fog computing based vehicular networks S Yan, X Zhang, H Xiang, W Wu IEEE Access 7, 17725-17735, 2019 | 25 | 2019 |
| Machine-learning approach for user association and content placement in fog radio access networks S Yan, M Jiao, Y Zhou, M Peng, M Daneshmand IEEE Internet of Things Journal 7 (10), 9413-9425, 2020 | 22 | 2020 |
| Joint communication and computation resource allocation in fog-based vehicular networks X Zhang, M Peng, S Yan, Y Sun IEEE Internet of Things Journal 9 (15), 13195-13208, 2022 | 21 | 2022 |
| Resource allocation for non-orthogonal multiple access-enabled fog radio access networks B Liu, C Liu, M Peng, Y Liu, S Yan IEEE Transactions on Wireless Communications 19 (6), 3867-3878, 2020 | 20 | 2020 |
| Joint user access mode selection and content popularity prediction in non-orthogonal multiple access-based F-RANs S Yan, L Qi, Y Zhou, M Peng, GMS Rahman IEEE Transactions on Communications 68 (1), 654-666, 2019 | 20 | 2019 |
| Deep reinforcement learning based coded caching scheme in fog radio access networks Y Zhou, M Peng, S Yan, Y Sun 2018 IEEE/CIC International Conference on Communications in China (ICCC …, 2018 | 19 | 2018 |
| Advanced user association in non-orthogonal multiple access-based fog radio access networks L Qi, M Peng, Y Liu, S Yan IEEE Transactions on Communications 67 (12), 8408-8421, 2019 | 17 | 2019 |
Mugen PengBeijing University of Posts & Telecommun., IEEE Fellow, Web of Science Highly Cited Researcher在 bupt.edu.cn 的电子邮件经过验证
