research
∙
08/24/2023
Capacity Analysis and Throughput Maximization of NOMA with Nonlinear Power Amplifier Distortion
In future B5G/6G broadband communication systems, non-linear signal dist...
share
research
∙
06/19/2023
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
Federated learning (FL) enables edge devices to collaboratively train ma...
research
∙
07/26/2022
CFLIT: Coexisting Federated Learning and Information Transfer
Future wireless networks are expected to support diverse mobile services...
research
∙
03/16/2022
RIS Partitioning Based Scalable Beamforming Design for Large-Scale MIMO: Asymptotic Analysis and Optimization
In next-generation wireless networks, reconfigurable intelligent surface...
research
∙
09/06/2021
Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning
Federated edge learning (FEEL) has emerged as a revolutionary paradigm t...
research
∙
07/20/2021
Relay-Assisted Cooperative Federated Learning
Federated learning (FL) has recently emerged as a promising technology t...
research
∙
05/28/2021
Optimal Model Placement and Online Model Splitting for Device-Edge Co-Inference
Device-edge co-inference opens up new possibilities for resource-constra...
research
∙
04/14/2021
An Integrated Optimization-Learning Framework for Online Combinatorial Computation Offloading in MEC Networks
Mobile edge computing (MEC) is a promising paradigm to accommodate the i...
research
∙
03/03/2021
Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning
In this paper, we investigate over-the-air model aggregation in a federa...
research
∙
02/22/2021
CSIT-Free Federated Edge Learning via Reconfigurable Intelligent Surface
We study over-the-air model aggregation in federated edge learning (FEEL...
research
∙
02/05/2021
Stable Online Computation Offloading via Lyapunov-guided Deep Reinforcement Learning
In this paper, we consider a multi-user mobile-edge computing (MEC) netw...
research
∙
01/18/2021
Semi-Blind Cascaded Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO
Reconfigurable intelligent surface (RIS) is envisioned to be a promising...
research
∙
12/29/2020
Joint Beamforming and Power Control for Throughput Maximization in IRS-assisted MISO WPCNs
Intelligent reflecting surface (IRS) is an emerging technology to enhanc...
research
∙
11/20/2020
Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach
To exploit massive amounts of data generated at mobile edge networks, fe...
research
∙
11/11/2020
Optimizing AI Service Placement and Resource Allocation in Mobile Edge Intelligence Systems
Leveraging recent advances on mobile edge computing (MEC), edge intellig...
research
∙
11/04/2020
Pricing-Driven Service Caching and Task Offloading in Mobile Edge Computing
Provided with mobile edge computing (MEC) services, wireless devices (WD...
research
∙
10/03/2020
Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks
Opportunistic computation offloading is an effective method to improve t...
research
∙
07/19/2020
Throughput Optimization of Intelligent Reflecting Surface Assisted User Cooperation in WPCNs
Intelligent reflecting surface (IRS) can effectively enhance the energy ...
research
∙
02/19/2020
Offloading and Resource Allocation with General Task Graph in Mobile Edge Computing: A Deep Reinforcement Learning Approach
In this paper, we consider a mobile-edge computing system, where an acce...
research
∙
06/03/2019
Joint Optimization of Service Caching Placement and Computation Offloading in Mobile Edge Computing System
In mobile edge computing (MEC) systems, edge service caching refers to p...
research
∙
04/26/2019
The Roadmap to 6G -- AI Empowered Wireless Networks
The recent upsurge of diversified mobile applications, especially those ...
research
∙
10/26/2018
Optimal Offloading and Resource Allocation in Mobile-Edge Computing with Inter-user Task Dependency
Mobile-edge computing (MEC) has recently emerged as a cost-effective par...
research
∙
10/02/2018
Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO with Arbitrary Array Geometry
In this paper, we study blind channel-and-signal estimation by exploitin...
research
∙
09/11/2018
CNN-Based Signal Detection for Banded Linear Systems
Banded linear systems arise in many communication scenarios, e.g., those...
research
∙
09/06/2018
DRAG: Deep Reinforcement Learning Based Base Station Activation in Heterogeneous Networks
Heterogeneous Network (HetNet), where Small cell Base Stations (SBSs) ar...
research
∙
08/14/2018
Machine Learning for Heterogeneous Ultra-Dense Networks with Graphical Representations
Heterogeneous ultra-dense network (H-UDN) is envisioned as a promising s...
research
∙
08/06/2018
Deep Reinforcement Learning for Online Offloading in Wireless Powered Mobile-Edge Computing Networks
In this paper, we consider a wireless powered mobile-edge computing (MEC...
research
∙
02/09/2018
An ADMM Based Method for Computation Rate Maximization in Wireless Powered Mobile-Edge Computing Networks
In this paper, we consider a wireless powered mobile edge computing (MEC...
research
∙
12/26/2017