面向 5G 超密集场景下的网络自组织关键技术 刘宜明, 李曦, 纪红 电信科学 32 (6), 44-51, 2016 | 3 | 2016 |
面向智能机器通信的语义信息刻画及度量 马楠, 宋孟书, 刘宜明, 董辰 北京邮电大学学报 45 (6), 12, 2022 | | 2022 |
区块链赋能的边缘异构计算系统中资源调度研究 张平, 李世林, 刘宜明, 秦晓琦, 许晓东 通信学报 41 (10), 1-14, 2020 | 1 | 2020 |
A Deep Reinforcement Learning Approach for Federated Learning Optimization with UAV Trajectory Planning C Zhang, Y Liu, Z Zhang 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile …, 2023 | | 2023 |
A multi-user access scheme for throughput enhancement in UDN with NOMA Y Liu, X Li, H Ji, H Zhang 2017 IEEE International Conference on Communications Workshops (ICC …, 2017 | 20 | 2017 |
A multiple APs cooperation access scheme for energy efficiency in UUDN with NOMA Y Liu, X Li, H Ji, H Zhang 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2017 | 9 | 2017 |
Adaptive resource allocation for blockchain-based federated learning in internet of things J Zhang, Y Liu, X Qin, X Xu, P Zhang IEEE Internet of Things Journal, 2023 | 15 | 2023 |
Age-aware communication strategy in federated learning with energy harvesting devices X Liu, X Qin, H Chen, Y Liu, B Liu, P Zhang 2021 IEEE/CIC International Conference on Communications in China (ICCC …, 2021 | 16 | 2021 |
Age–energy‐aware trajectory planning for UAV‐assisted data collection in Internet of Things H Chen, Z Jia, N Ma, Y Liu, Y Yao, X Qin IET Communications 17 (10), 1177-1187, 2023 | 1 | 2023 |
An intelligent UAV deployment scheme for load balance in small cell networks using machine learning JS Hu, H Zhang, YM Liu, X Li, H Ji 2019 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2019 | 20 | 2019 |
Blockchain and machine learning for communications and networking systems Y Liu, FR Yu, X Li, H Ji, VCM Leung ieee communications surveys & tutorials 22 (2), 1392-1431, 2020 | 273 | 2020 |
Blockchain-empowered data-driven networks: A survey and outlook X Li, Z Wang, VCM Leung, H Ji, Y Liu, H Zhang ACM Computing Surveys (CSUR) 54 (3), 1-38, 2021 | 34 | 2021 |
Blockchain-enabled online traffic congestion duration prediction in cognitive internet of vehicles H Chang, Y Liu, Z Sheng IEEE Internet of Things Journal 9 (24), 25612-25625, 2022 | 5 | 2022 |
Codebook Design and Beam Training for Conformal Array-Enabled UAV mmWave Communications With the Airframe Shadowing J Zhang, W Xu, F Wang, Y Liu, M Pan IEEE Wireless Communications Letters, 2023 | | 2023 |
Decentralized resource allocation for video transcoding and delivery in blockchain-based system with mobile edge computing Y Liu, FR Yu, X Li, H Ji, VCM Leung IEEE Transactions on Vehicular Technology 68 (11), 11169-11185, 2019 | 99 | 2019 |
Distributed Multi-Agent Reinforcement Learning for Collaborative Path Planning and Scheduling in Blockchain-Based Cognitive Internet of Vehicles H Chang, Y Liu, Z Sheng IEEE Transactions on Vehicular Technology, 2023 | | 2023 |
Distributed resource allocation and computation offloading in fog and cloud networks with non-orthogonal multiple access Y Liu, FR Yu, X Li, H Ji, VCM Leung IEEE Transactions on Vehicular Technology 67 (12), 12137-12151, 2018 | 144 | 2018 |
Distributed self-optimizing interference management in ultra-dense networks with non-orthogonal multiple access Y Liu, FR Yu, X Li, H Ji, VCM Leung Wireless Networks 26, 2809-2823, 2020 | 4 | 2020 |
Dynamic APs grouping scheme base on energy efficiency in UUDN S Yu, X Li, H Ji, Y Liu Communications and Networking: 11th EAI International Conference, ChinaCom …, 2018 | 2 | 2018 |
Energy-efficient caching and task offloading for timely status updates in uav-assisted vanets N Hu, X Qin, N Ma, Y Liu, Y Yao, P Zhang 2022 IEEE/CIC International Conference on Communications in China (ICCC …, 2022 | 8 | 2022 |