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 | 1058 | 2020 |
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 | 314 | 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 | 280 | 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 | 278 | 2021 |
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 | 198 | 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 | 184 | 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 | 130 | 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 | 125 | 2022 |
SigNet: A novel deep learning framework for radio signal classification Z Chen, H Cui, J Xiang, K Qiu, L Huang, S Zheng, S Chen, Q Xuan, ... IEEE Transactions on Cognitive Communications and Networking 8 (2), 529-541, 2022 | 74 | 2022 |
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 | 71 | 2017 |
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 | 52 | 2017 |
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 | 51 | 2022 |
Generalized pollaczek-khinchin formula for markov channels L Huang, TT Lee IEEE Transactions on Communications 61 (8), 3530-3540, 2013 | 51 | 2013 |
Deep reinforcement learning-based task offloading and resource allocation for mobile edge computing L Huang, X Feng, L Qian, Y Wu International Conference on Machine Learning and Intelligent Communications …, 2018 | 48 | 2018 |
Deep learning-based dynamic computation task offloading for mobile edge computing networks S Yang, G Lee, L Huang Sensors 22 (11), 4088, 2022 | 47 | 2022 |
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 | 47 | 2021 |
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 | 46 | 2021 |
Computation bits maximization in UAV-assisted MEC networks with fairness constraint X Zhou, L Huang, T Ye, W Sun IEEE Internet of Things Journal 9 (21), 20997-21009, 2022 | 44 | 2022 |
An integrated optimization-learning framework for online combinatorial computation offloading in MEC networks X Li, L Huang, H Wang, S Bi, YJA Zhang IEEE Wireless Communications 29 (1), 170-177, 2022 | 41 | 2022 |
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 | 41 | 2019 |