590 citations · 1.9k across the 75 of their papers we have counts for
12 papers · 1 filter
A Novel Cross Entropy Approach for Offloading Learning in Mobile Edge Computing
Shuhan Zhu, Wei Xu, Lisheng Fan +2
In this paper, we propose a novel offloading learning approach to compromise energy consumption and latency in multi-tier network with mobile edge computing. In order to solve this…
Deep Learning Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks
Feibo Jiang, Kezhi Wang, Li Dong +3
In this paper, we consider a hybrid mobile edge computing (H-MEC) platform, which includes ground stations (GSs), ground vehicles (GVs) and unmanned aerial vehicle (UAVs), all with…
Robust Beamforming Design for Intelligent Reflecting Surface Aided MISO Communication Systems
Gui Zhou, Cunhua Pan, Hong Ren +3
Perfect channel state information (CSI) is challenging to obtain due to the limited signal processing capability at the intelligent reflection surface (IRS). In this paper, we stud…
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing
Liang Wang, Kezhi Wang, Cunhua Pan +3
In this paper, we consider a platform of flying mobile edge computing (F-MEC), where unmanned aerial vehicles (UAVs) serve as equipment providing computation resource, and they ena…
Resource Allocation Using Gradient Boosting Aided Deep Q-Network for IoT in C-RANs
Yifan Luo, Jiawei Yang, Wei Xu +2
In this paper, we investigate dynamic resource allocation (DRA) problems for Internet of Things (IoT) in real-time cloud radio access networks (C-RANs), by combining gradient boost…
Bit-level Optimized Neural Network for Multi-antenna Channel Quantization
Chao Lu, Wei Xu, Shi Jin +1
Quantized channel state information (CSI) plays a critical role in precoding design which helps reap the merits of multiple-input multiple-output (MIMO) technology. In order to red…
Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems
Gui Zhou, Cunhua Pan, Hong Ren +2
Intelligent reflecting surface (IRS) has recently been envisioned to offer unprecedented massive multiple-input multiple-output (MIMO)-like gains by deploying large-scale and low-c…
Ergodic Rate Analysis of Cooperative Ambient Backscatter Communication
Shaoqing Zhou, Wei Xu, Kezhi Wang +3
Ambient backscatter communication has shown great potential in the development of future wireless networks. It enables a backscatter transmitter (BTx) to send information directly…
Achievable Data Rate for URLLC-Enabled UAV Systems with 3-D Channel Model
Hong Ren, Cunhua Pan, Kezhi Wang +3
In this paper, we investigate the average achievable data rate (AADR) of the control information delivery from the ground control station (GCS) to unmanned-aerial-vehicle (UAV) und…
Multicell MIMO Communications Relying on Intelligent Reflecting Surface
Cunhua Pan, Hong Ren, Kezhi Wang +4
Intelligent reflecting surfaces (IRSs) constitute a disruptive wireless communication technique capable of creating a controllable propagation environment. In this paper, we propos…
RL-Based User Association and Resource Allocation for Multi-UAV enabled MEC
Liang Wang, Peiqiu Huang, Kezhi Wang +4
In this paper, multi-unmanned aerial vehicle (UAV) enabled mobile edge computing (MEC), i.e., UAVE is studied, where several UAVs are deployed as flying MEC platform to provide com…
Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks
Zhaohui Yang, Cunhua Pan, Kezhi Wang +1
In this paper, we consider the sum power minimization problem via jointly optimizing user association, power control, computation capacity allocation and location planning in a mob…