research
∙
09/19/2023
A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization
Indoor localization is getting increasing demands for various cutting-ed...
share
research
∙
09/06/2023
Reconfigurable Intelligent Surface Aided Space Shift Keying With Imperfect CSI
In this paper, we investigate the performance of reconfigurable intellig...
research
∙
07/14/2023
Reconfigurable Intelligent Surface Assisted Free Space Optical Information and Power Transfer
Free space optical (FSO) transmission has emerged as a key candidate tec...
research
∙
01/03/2023
Joint Optimization of Video-based AI Inference Tasks in MEC-assisted Augmented Reality Systems
The high computational complexity and energy consumption of artificial i...
research
∙
09/10/2022
A Novel Energy Efficiency Metric for Next Generation Wireless Communication Networks
As a core performance metric for green communications, the conventional ...
research
∙
08/06/2022
Prediction-based Hybrid Slicing Framework for Service Level Agreement Guarantee in Mobility Scenarios: A Deep Learning Approach
Network slicing is a critical driver for guaranteeing the diverse servic...
research
∙
08/03/2022
Joint Optimization of DNN Inference Delay and Energy under Accuracy Constraints for AR Applications
The high computational complexity and high energy consumption of artific...
research
∙
03/06/2022
A Hard and Soft Hybrid Slicing Framework for Service Level Agreement Guarantee via Deep Reinforcement Learning
Network slicing is a critical driver for guaranteeing the diverse servic...
research
∙
04/01/2021
Arbitrary-Shaped Text Detection withAdaptive Text Region Representation
Text detection/localization, as an important task in computer vision, ha...
research
∙
01/22/2021
Predictive Wireless Based Status Update for Communication-Agnostic Sampling
In a wireless network that conveys status updates from sources (i.e., se...
research
∙
08/07/2020
An Analytical Framework for Delay Optimal Mobile Edge Deployment in Wireless Networks
The emerging edge caching provides an effective way to reduce service de...
research
∙
07/12/2020
Learning Frame Level Attention for Environmental Sound Classification
Environmental sound classification (ESC) is a challenging problem due to...
research
∙
02/24/2020
Age of Information Optimized MAC in V2X Sidelink via Piggyback-Based Collaboration
Real-time status update in future vehicular networks is vital to enable ...
research
∙
02/13/2020
Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks
Ultra-Reliable and Low-Latency Communications (URLLC) services in vehicu...
research
∙
02/04/2020
Revealing Much While Saying Less: Predictive Wireless for Status Update
Wireless communications for status update are becoming increasingly impo...
research
∙
12/03/2019
AI-Assisted Low Information Latency Wireless Networking
The 5G Phase-2 and beyond wireless systems will focus more on vertical a...
research
∙
08/16/2019
Sub-Spectrogram Segmentation for Environmental Sound Classification via Convolutional Recurrent Neural Network and Score Level Fusion
Environmental Sound Classification (ESC) is an important and challenging...
research
∙
07/04/2019
Attention based Convolutional Recurrent Neural Network for Environmental Sound Classification
Environmental sound classification (ESC) is a challenging problem due to...
research
∙
04/09/2019
Passive TCP Identification for Wired and WirelessNetworks: A Long-Short Term Memory Approach
Transmission control protocol (TCP) congestion control is one of the key...
research
∙
03/10/2019
A Deep Learning Based Resource Allocation Scheme in Vehicular Communication Systems
In vehicular communications, intracell interference and the stringent la...
research
∙
01/18/2019
Dynamic Carrier and Power Amplifier Mapping for Energy Efficient Multi-Carrier Wireless Communications
The rapid increasing demand of wireless transmission has incurred mobile...
research
∙
08/25/2018
How many labeled license plates are needed?
Training a good deep learning model often requires a lot of annotated da...
research
∙
08/25/2018
Deep Convolutional Neural Network with Mixup for Environmental Sound Classification
Environmental sound classification (ESC) is an important and challenging...
research
∙
03/31/2018
Efficient Sparse Code Multiple Access Decoder Based on Deterministic Message Passing Algorithm
Being an effective non-orthogonal multiple access (NOMA) technique, spar...
research
∙
02/21/2018
On the Low-Complexity, Hardware-Friendly Tridiagonal Matrix Inversion for Correlated Massive MIMO Systems
In massive MIMO (M-MIMO) systems, one of the key challenges in the imple...
research
∙
02/15/2018