Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks L Huang, S Bi, YJA Zhang IEEE Transactions on Mobile Computing 19 (11), 2581-2593, 2020 | 625 | 2020 |
Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing L Huang, X Feng, C Zhang, L Qian, Y Wu Digital Communications and Networks 5 (1), 10-17, 2019 | 199 | 2019 |
Joint optimization of service caching placement and computation offloading in mobile edge computing systems S Bi, L Huang, YJA Zhang IEEE Transactions on Wireless Communications 19 (7), 4947-4963, 2020 | 158 | 2020 |
Distributed deep learning-based offloading for mobile edge computing networks L Huang, X Feng, A Feng, Y Huang, LP Qian Mobile networks and applications 27, 1123–1130, 2022 | 126* | 2022 |
Data augmentation for deep learning-based radio modulation classification L Huang, W Pan, Y Zhang, L Qian, N Gao, Y Wu IEEE access 8, 1498-1506, 2019 | 107 | 2019 |
Multi-server multi-user multi-task computation offloading for mobile edge computing networks L Huang, X Feng, L Zhang, L Qian, Y Wu Sensors 19 (6), 1446, 2019 | 99 | 2019 |
Lyapunov-guided deep reinforcement learning for stable online computation offloading in mobile-edge computing networks S Bi, L Huang, H Wang, YJA Zhang IEEE Transactions on Wireless Communications 20 (11), 7519-7537, 2021 | 87 | 2021 |
Minimization of transmission completion time in wireless powered communication networks K Chi, YH Zhu, Y Li, L Huang, M Xia IEEE Internet of Things Journal 4 (5), 1671-1683, 2017 | 69 | 2017 |
Generalized pollaczek-khinchin formula for markov channels L Huang, TT Lee IEEE Transactions on Communications 61 (8), 3530-3540, 2013 | 51 | 2013 |
Optimal relay selection and power control for energy-harvesting wireless relay networks Y Wu, L ping Qian, L Huang, X Shen IEEE Transactions on Green Communications and Networking 2 (2), 471-481, 2017 | 48 | 2017 |
Deep reinforcement learning-based task offloading and resource allocation for mobile edge computing L Huang, X Feng, L Qian, Y Wu Machine Learning and Intelligent Communications: Third International …, 2018 | 37 | 2018 |
HybridIoT: Integration of hierarchical multiple access and computation offloading for IoT-based smart cities LP Qian, Y Wu, B Ji, L Huang, DHK Tsang IEEE network 33 (2), 6-13, 2019 | 33 | 2019 |
Drl-based partial offloading for maximizing sum computation rate of wireless powered mobile edge computing network S Zhang, H Gu, K Chi, L Huang, K Yu, S Mumtaz IEEE Transactions on Wireless Communications 21 (12), 10934-10948, 2022 | 30 | 2022 |
Throughput guarantees for multi-cell wireless powered communication networks with non-orthogonal multiple access L Huang, R Nan, K Chi, Q Hua, K Yu, N Kumar, M Guizani IEEE Transactions on Vehicular Technology 71 (11), 12104-12116, 2022 | 27 | 2022 |
Visualizing deep learning-based radio modulation classifier L Huang, Y Zhang, W Pan, J Chen, LP Qian, Y Wu IEEE Transactions on Cognitive Communications and Networking 7 (1), 47-58, 2021 | 26 | 2021 |
Energy management for secure transmission in wireless powered communication networks S Zhang, S Kong, K Chi, L Huang IEEE Internet of Things Journal 9 (2), 1171-1181, 2022 | 22 | 2022 |
Efficient and reliable multicast using device-to-device communication and network coding for a 5G network K Chi, L Huang, Y Li, Y Zhu, X Tian, M Xia IEEE Network 31 (4), 78-84, 2017 | 21 | 2017 |
Age of information for transmissions over Markov channels L Huang, LP Qian GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 19 | 2017 |
Meta-Learning based Dynamic Computation Task Offloading for Mobile Edge Computing Networks L Huang, L Zhang, S Yang, LP Qian, Y Wu IEEE Communications Letters 25 (5), 1568-1572, 2021 | 18 | 2021 |
Adaptive scheduling in energy harvesting sensor networks for green cities L Huang, S Bi, LP Qian, Z Xia IEEE Transactions on Industrial Informatics 14 (4), 1575-1584, 2017 | 18 | 2017 |