| Application of machine learning in wireless networks: Key techniques and open issues Y Sun, M Peng, Y Zhou, Y Huang, S Mao IEEE Communications Surveys & Tutorials 21 (4), 3072-3108, 2019 | 593 | 2019 |
| Recent advances in cloud radio access networks: System architectures, key techniques, and open issues M Peng, Y Sun, X Li, Z Mao, C Wang IEEE Communications Surveys & Tutorials 18 (3), 2282-2308, 2016 | 419 | 2016 |
| Deep reinforcement learning-based mode selection and resource management for green fog radio access networks Y Sun, M Peng, S Mao IEEE Internet of Things Journal 6 (2), 1960-1971, 2018 | 223 | 2018 |
| 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 | 207 | 2019 |
| 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 | 92 | 2019 |
| Deep reinforcement learning based computation offloading in fog enabled industrial internet of things Y Ren, Y Sun, M Peng IEEE Transactions on Industrial Informatics 17 (7), 4978-4987, 2020 | 68 | 2020 |
| 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 | 59 | 2020 |
| A distributed approach to improving spectral efficiency in uplink device-to-device-enabled cloud radio access networks Y Sun, M Peng, HV Poor IEEE Transactions on Communications 66 (12), 6511-6526, 2018 | 52 | 2018 |
| A game-theoretic approach to cache and radio resource management in fog radio access networks Y Sun, M Peng, S Mao IEEE Transactions on Vehicular Technology 68 (10), 10145-10159, 2019 | 50 | 2019 |
| User scheduling and cluster formation in fog computing based radio access networks Y Sun, T Dang, J Zhou 2016 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB), 1-4, 2016 | 39 | 2016 |
| Resource allocation in cloud radio access networks with device-to-device communications Y Mo, M Peng, H Xiang, Y Sun, X Ji IEEE Access 5, 1250-1262, 2017 | 37 | 2017 |
| Chainsfl: Blockchain-driven federated learning from design to realization S Yuan, B Cao, M Peng, Y Sun 2021 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2021 | 34 | 2021 |
| Joint resource allocation and caching placement for network slicing in fog radio access networks L Tang, X Zhang, H Xiang, Y Sun, M Peng 2017 IEEE 18th International Workshop on Signal Processing Advances in …, 2017 | 31 | 2017 |
| Joint resource allocation and admission control in sliced fog radio access networks Y Ai, G Qiu, C Liu, Y Sun China Communications 17 (8), 14-30, 2020 | 29 | 2020 |
| Delay-optimized resource allocation in fog-based vehicular networks K Zhang, M Peng, Y Sun IEEE Internet of Things Journal 8 (3), 1347-1357, 2020 | 29 | 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 | 28 | 2022 |
| Z. Mao ja C. Wang. 2016.“ M Peng, Y Sun, X Li Recent Advances in Cloud Radio Access Networks: System Architectures, Key …, 0 | 28 | |
| Integrated satellite-terrestrial networks: Architectures, key techniques, and experimental progress Y Sun, M Peng, S Zhang, G Lin, P Zhang IEEE Network 36 (6), 191-198, 2022 | 20 | 2022 |
| 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 | 20 | 2018 |
| A coalitional game scheme for cooperative interference management in cloud radio access networks C Sun, M Peng, B Zhang, Y Sun, Y Li, C Wang Transactions on Emerging Telecommunications Technologies 25 (9), 954-964, 2014 | 18 | 2014 |
