Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization

H Du, R Zhang, Y Liu, J Wang, Y Lin, Z Li… - arXiv preprint arXiv …, 2023 - arxiv.org
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …

Intelligent Multi-Modal Sensing-Communication Integration: Synesthesia of Machines

X Cheng, H Zhang, J Zhang, S Gao, S Li… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In the era of sixth-generation (6G) wireless communications, integrated sensing and
communications (ISAC) is recognized as a promising solution to upgrade the physical …

Mobility-aware cooperative caching in vehicular edge computing based on asynchronous federated and deep reinforcement learning

Q Wu, Y Zhao, Q Fan, P Fan, J Wang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Vehicular edge computing (VEC) can learn and cache most popular contents for vehicular
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …

On the interplay between sensing and communications for UAV trajectory design

J Wu, W Yuan, L Bai - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The unmanned aerial vehicles (UAVs) are envisioned as promising aerial facilities for
providing advanced communication services as well as sensing functionalities in the next …

Data synchronization in vehicular digital twin network: A game theoretic approach

J Zheng, TH Luan, Y Zhang, R Li, Y Hui… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
A fundamental issue of the vehicular digital twin (DT) is efficiently synchronizing the data
between the DT and the vehicular user (VUE). In this paper, we consider the heterogeneous …

Blockage effects of road bridge on mmwave channels for intelligent autonomous vehicles

D Yan, K Guan, D He, J Kim, H Chung… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Vehicular communication and sensing technologies are key to enabling 6G Intelligent
Autonomous Transportation Systems (IATS). With the introduction of massive sensors and …

A RIS-based vehicle DOA estimation method with integrated sensing and communication system

Z Chen, P Chen, Z Guo, Y Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of intelligent transportation, growing attention has been received to
integrated sensing and communication (ISAC) systems. In this paper, we formulate a novel …

AFL-DMAAC: Integrated resource management and cooperative caching for URLLC-IoV networks

B Hazarika, K Singh - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
In this paper, we propose a novel approach for optimal resource management and caching
in ultra-reliable low-latency communication (URLLC)-enabled Internet of Vehicles (IoV) …

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

H Du, R Zhang, Y Liu, J Wang, Y Lin… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across …

Electromagnetic property sensing: A new paradigm of integrated sensing and communication

Y Jiang, F Gao, S Jin - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
Integrated sensing and communication (ISAC) has opened up numerous game-changing
opportunities for future wireless systems. In this paper, we develop a novel scheme that …