Towards deep learning-aided wireless channel estimation and channel state information feedback for 6G
Deep learning (DL), a branch of artificial intelligence (AI) techniques, has shown great
promise in various disciplines such as image classification and segmentation, speech …
promise in various disciplines such as image classification and segmentation, speech …
Online meta-learning for hybrid model-based deep receivers
Recent years have witnessed growing interest in the application of deep neural networks
(DNNs) for receiver design, which can potentially be applied in complex environments …
(DNNs) for receiver design, which can potentially be applied in complex environments …
Data Augmentation for Predictive Digital Twin Channel: Learning Multi-Domain Correlations by Convolutional TimeGAN
In order to realize advanced system design for the sophisticated mobile networks, predictive
digital twin (DT) channel is constructed via data-driven approaches to provide high-accuracy …
digital twin (DT) channel is constructed via data-driven approaches to provide high-accuracy …
Meta-Learning for Wireless Communications: A Survey and a Comparison to GNNs
Deep learning has been used for optimizing a multitude of wireless problems. Yet most
existing works assume that training and test samples are drawn from the same distribution …
existing works assume that training and test samples are drawn from the same distribution …
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey
The success of Artificial Intelligence (AI) in multiple disciplines and vertical domains in
recent years has promoted the evolution of mobile networking and the future Internet toward …
recent years has promoted the evolution of mobile networking and the future Internet toward …
Computer Vision-Aided Proactive Mobility Management for 6G Terahertz Communications
Recently, terahertz (THz) communication supported by the ultra-dense network (UDN) has
received a great deal of attention as a means to satisfy stringent requirements in throughput …
received a great deal of attention as a means to satisfy stringent requirements in throughput …
Deep Learning-aided Parametric Sparse Channel Estimation for Terahertz Massive MIMO Systems
Terahertz (THz) communications is considered as one of key solutions to support extremely
high data demand in 6G. One main difficulty of the THz communication is the severe signal …
high data demand in 6G. One main difficulty of the THz communication is the severe signal …
Multisource working condition recognition via nonlinear kernel learning and p-Laplacian manifold learning
B Zhou, R Niu, S Yang, J Yang, W Zhao - Heliyon, 2024 - cell.com
Effectively utilizing information from multiple sources and fewer labeled operating condition
samples from a sucker-rod pumping system for oil production can improve the recognition …
samples from a sucker-rod pumping system for oil production can improve the recognition …
Deep Learning-based Localization Using Spatial Information in the NLoS Scenarios
In this paper, we propose a new type of deep learning (DL)-based localization for the urban
NLoS scenarios, termed Intelligent Localization via Spatial Information Embedding (I …
NLoS scenarios, termed Intelligent Localization via Spatial Information Embedding (I …
Machine Learning and Stochastic Geometry Techniques for Future Mobile Communications
B Banerjee - 2023 - era.library.ualberta.ca
Advancements in wireless communication are continuously evolving, and the progression
towards the 6th generation (6G) and beyond of cellular architecture will heavily rely on the …
towards the 6th generation (6G) and beyond of cellular architecture will heavily rely on the …