9 citations · 27 across the 14 of their papers we have counts for
6 papers · 1 filter
Optimal Task Offloading and Resource Allocation in Mobile-Edge Computing with Inter-user Task Dependency
Jia Yan, Suzhi Bi, Ying-Jun Angela Zhang +1
Mobile-edge computing (MEC) has recently emerged as a cost-effective paradigm to enhance the computing capability of hardware-constrained wireless devices (WDs). In this paper, we…
CNN-Based Signal Detection for Banded Linear Systems
Congmin Fan, Xiaojun Yuan, Ying-Jun Angela Zhang
Banded linear systems arise in many communication scenarios, e.g., those involving inter-carrier interference and inter-symbol interference. Motivated by recent advances in deep le…
DRAG: Deep Reinforcement Learning Based Base Station Activation in Heterogeneous Networks
Junhong Ye, Ying-Jun Angela Zhang
Heterogeneous Network (HetNet), where Small cell Base Stations (SBSs) are densely deployed to offload traffic from macro Base Stations (BSs), is identified as a key solution to mee…
Machine Learning for Heterogeneous Ultra-Dense Networks with Graphical Representations
Congmin Fan, Ying-Jun Angela Zhang, Xiaojun Yuan
Heterogeneous ultra-dense network (H-UDN) is envisioned as a promising solution to sustain the explosive mobile traffic demand through network densification. By placing access poin…
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…
An ADMM Based Method for Computation Rate Maximization in Wireless Powered Mobile-Edge Computing Networks
Suzhi Bi, Ying-Jun Angela Zhang
In this paper, we consider a wireless powered mobile edge computing (MEC) network, where the distributed energy-harvesting wireless devices (WDs) are powered by means of radio freq…