A Comprehensive Survey on Revolutionizing Connectivity Through Artificial Intelligence-Enabled Digital Twin Network in 6G
The deployment of 5G has exposed capacity constraints in realizing the key vision of the
Internet of Everything (IoE). Therefore, the researchers are exploring potentials of Digital …
Internet of Everything (IoE). Therefore, the researchers are exploring potentials of Digital …
Advanced Deep Learning Models for 6G: Overview, Opportunities and Challenges
The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …
heightened demand for advanced network intelligence to tackle the challenges of an …
Llm-twin: Mini-giant model-driven beyond 5g digital twin networking framework with semantic secure communication and computation
Beyond 5G networks provide solutions for next-generation communications, especially
digital twins networks (DTNs) have gained increasing popularity for bridging physical and …
digital twins networks (DTNs) have gained increasing popularity for bridging physical and …
Next-Generation Multiple Access for Integrated Sensing and Communications
Integrated sensing and communications (ISAC) has received considerable attention from
both industry and academia. By sharing the spectrum and hardware platform, ISAC …
both industry and academia. By sharing the spectrum and hardware platform, ISAC …
THz Network Placement and Mobility-Aware Resource Allocation for Indoor Hybrid THz/VLC Wireless Networks
S Aboagye, H Tabassum - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper focuses on the energy and spectral efficient design of an indoor communication
system that leverages terahertz (THz) and visible light communication (VLC). We first …
system that leverages terahertz (THz) and visible light communication (VLC). We first …
Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation
The move toward artificial intelligence (AI)-native sixth-generation (6G) networks has put
more emphasis on the importance of explainability and trustworthiness in network …
more emphasis on the importance of explainability and trustworthiness in network …
Unsupervised Power Allocation Based on Combination of Edge Aggregated Graph Attention Network with Deep Unfolded WMMSE
To address the challenge of optimizing power distribution for transmitter-receiver pairs within
ad hoc wireless networks, deep learning techniques have been employed to navigate the …
ad hoc wireless networks, deep learning techniques have been employed to navigate the …
[HTML][HTML] UAV-Enabled Diverse Data Collection via Integrated Sensing and Communication Functions Based on Deep Reinforcement Learning
Y Liu, X Li, B He, M Gu, W Huangfu - Drones, 2024 - mdpi.com
Unmanned aerial vehicles (UAVs) and drones are considered to represent a flexible mobile
aerial platform to collect data in various applications. However, the existing data collection …
aerial platform to collect data in various applications. However, the existing data collection …
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 …
Diffusion Models as Network Optimizers: Explorations and Analysis
Network optimization is a fundamental challenge in the Internet of Things (IoT) network,
often characterized by complex features that make it difficult to solve these problems …
often characterized by complex features that make it difficult to solve these problems …