research
∙
09/17/2023
Mobile Metaverse: A Road Map from Metaverse to Metavehicles
With the rapid development of communication technologies and extended re...
share
research
∙
08/15/2023
Distilling Knowledge from Resource Management Algorithms to Neural Networks: A Unified Training Assistance Approach
As a fundamental problem, numerous methods are dedicated to the optimiza...
research
∙
08/04/2023
Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles
By offloading computation-intensive tasks of vehicles to roadside units ...
research
∙
07/23/2023
Robust Weighted Sum-Rate Maximization for Transmissive RIS Transmitter Enabled RSMA Networks
Due to the low power consumption and low cost nature of transmissive rec...
research
∙
06/15/2023
Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach
Deep learning has been successfully adopted in mobile edge computing (ME...
research
∙
05/26/2023
Digital Twin-Based 3D Map Management for Edge-Assisted Mobile Augmented Reality
In this paper, we design a 3D map management scheme for edge-assisted mo...
research
∙
03/10/2023
Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning
In this paper, to deal with the heterogeneity in federated learning (FL)...
research
∙
01/02/2023
Performance Analysis and Enhancement of Beamforming Training in 802.11ad
Beamforming (BF) training is crucial to establishing reliable millimeter...
research
∙
01/02/2023
Beef up mmWave Dense Cellular Networks with D2D-Assisted Cooperative Edge Caching
Edge caching is emerging as the most promising solution to reduce the co...
research
∙
11/02/2022
SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer
Multiple-input multiple-output and orthogonal frequency-division multipl...
research
∙
08/02/2022
On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks
On-demand service provisioning is a critical yet challenging issue in 6G...
research
∙
08/02/2022
Digital Twin-Assisted Efficient Reinforcement Learning for Edge Task Scheduling
Task scheduling is a critical problem when one user offloads multiple di...
research
∙
06/06/2022
Green Interference Based Symbiotic Security in Integrated Satellite-terrestrial Communications
In this paper, we investigate secure transmissions in integrated satelli...
research
∙
04/26/2022
Cybertwin-enabled 6G Space-air-ground Integrated Networks: Architecture, Open Issue, and Challenges
Space-air-ground integrated network (SAGIN) is considered as a core requ...
research
∙
12/02/2021
Autonomous Vehicular Networks: Perspective and Open Issues
The vehicular ad hoc networks (VANETs) have been researched for over twe...
research
∙
05/20/2021
Futuristic Intelligent Transportation System
The emerging autonomous vehicles (AVs) will inevitably revolutionize the...
research
∙
10/04/2020
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in Space-Air-Ground Integrated Network
In this paper, we investigate a computing task scheduling problem in spa...
research
∙
07/29/2020
Energy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization
In this paper, we study unmanned aerial vehicle (UAV) assisted mobile ed...
research
∙
09/07/2019
Fast mmwave Beam Alignment via Correlated Bandit Learning
Beam alignment (BA) is to ensure the transmitter and receiver beams are ...
research
∙
05/30/2019
Multi-Drone 3D Trajectory Planning and Scheduling in Drone Assisted Radio Access Networks
Drone base station (DBS) is a promising technique to extend wireless con...
research
∙
05/29/2019
3D Multi-Drone-Cell Trajectory Design for Efficient IoT Data Collection
Drone cell (DC) is an emerging technique to offer flexible and cost-effe...
research
∙
05/28/2018
ECD: An Edge Content Delivery and Update Framework in Mobile Edge Computing
This article proposes an edge content delivery framework (ECD) based on ...
research
∙
05/24/2018
