13 citations · 15 across the 2 of their papers we have counts for
6 papers
An Integrated Optimization-Learning Framework for Online Combinatorial Computation Offloading in MEC Networks
Xian Li, Liang Huang, Hui Wang +2
Mobile edge computing (MEC) is a promising paradigm to accommodate the increasingly prosperous delay-sensitive and computation-intensive applications in 5G systems. To achieve opti…
Stable Online Computation Offloading via Lyapunov-guided Deep Reinforcement Learning
Suzhi Bi, Liang Huang, Hui Wang +1
In this paper, we consider a multi-user mobile-edge computing (MEC) network with time-varying wireless channels and stochastic user task data arrivals in sequential time frames. In…
Visualizing Deep Learning-based Radio Modulation Classifier
Liang Huang, You Zhang, Weijian Pan +3
Deep learning has recently been successfully applied in automatic modulation classification by extracting and classifying radio features in an end-to-end way. However, deep learnin…
Data Augmentation for Deep Learning-based Radio Modulation Classification
Liang Huang, Weijian Pan, You Zhang +3
Deep learning has recently been applied to automatically classify the modulation categories of received radio signals without manual experience. However, training deep learning mod…
Joint Optimization of Service Caching Placement and Computation Offloading in Mobile Edge Computing Systems
Suzhi Bi, Liang Huang, Ying-Jun Angela Zhang
In mobile edge computing (MEC) systems, edge service caching refers to pre-storing the necessary programs for executing computation tasks at MEC servers. At resource-constrained ed…
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks
Liang Huang, Suzhi Bi, Ying-Jun Angela Zhang
Wireless powered mobile-edge computing (MEC) has recently emerged as a promising paradigm to enhance the data processing capability of low-power networks, such as wireless sensor n…