Generative AI-driven semantic communication networks: Architecture, technologies and applications

C Liang, H Du, Y Sun, D Niyato, J Kang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field
demonstrating significant potential in creating diverse content intelligently and automatically …

Boosting Rare Scenario Perception in Autonomous Driving: An Adaptive Approach With MoEs and LoRA

Y Li, Y Lin, L Zhong, R Yin, Y Ji… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Autonomous driving technology has achieved remarkable advancements, offering
substantial potential to revolutionize traffic safety and smart mobility. However, when faced …

Channel Characterization and Modeling for VLC-IoE Applications in 6G: A Survey

P Tang, Y Yin, Y Tong, S Liu, L Li… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Visible light communication (VLC) is considered a promising technology for enabling
Internet of Everything (IoE) applications in the sixth generation (6G), owing to its specific …

Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey

M Xu, D Niyato, J Kang, Z Xiong, A Jamalipour… - arXiv preprint arXiv …, 2024 - arxiv.org
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …

Learning-Based Deterministic Delay Performance Guarantee Strategy in RIS-Assisted Communication Networks

X Xu, Z Meng, J Zhang, S Han, B Wang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In order to satisfy the requirements for service transformation and upgrading towards
industrial digitization, networking, and intelligence, 6G-enabled Industrial Internet of Things …

Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture

X Yu, R Li, C Liang, Z Zhao - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Multi-Agent Reinforcement Learning (MARL) has emerged as a foundational approach for
addressing diverse, intelligent control tasks in various scenarios like the Internet of Vehicles …

Towards Intelligent and Adaptive Task Scheduling for 6G: An Intent-Driven Framework

Q Wang, S Zou, Y Sun, M Liwang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A cloud network schedules diverse tasks to multi-access edge computing (MEC) or cloud
platforms within dynamic industrial Internet of Things (IIoT). The scheduling is influenced by …

Delay-Minimized Resource Allocation in Relay-Assisted NOMA-WPT Industrial IoT Networks

Q Wang, LP Qian, M Li, W Jiang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) is a key application of 5th Generation Mobile
Communication Technology (5G), with latency-sensitive data transmission forming the …

Joint Sensing, Communication and Computation for Edge Intelligence Oriented Symbiotic Communication With Intelligent Reflecting Surface

N Huang, C Dou, Y Wu, L Qian - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Symbiotic radio, which exploits the benefits of passive communications and cognitive radio
via backscattering or ambient reflecting, is a promising paradigm to support a large amount …

Enhance Deep Reinforcement Learning with Denoising Autoencoder for Self-Driving Mobile Robot

GNP Pratama, I Hidayatulloh, HD Surjono… - Journal of Robotics …, 2024 - journal.umy.ac.id
Over the past years, self-driving mobile robots have captured the interest of researchers,
prompting exploration into their multifaceted implementation. They have the potential to …