Zobrazeno 1 - 10
of 4 790
pro vyhledávání: '"A. Letaief"'
This paper investigates distributed computing and cooperative control of connected and automated vehicles (CAVs) in ramp merging scenario under transportation cyber-physical system. Firstly, a centralized cooperative trajectory planning problem is fo
Externí odkaz:
http://arxiv.org/abs/2410.22987
The Internet of Vehicles (IoV) network can address the issue of limited computing resources and data processing capabilities of individual vehicles, but it also brings the risk of privacy leakage to vehicle users. Applying blockchain technology can e
Externí odkaz:
http://arxiv.org/abs/2409.17287
Autor:
Wang, Ouya, He, Hengtao, Zhou, Shenglong, Ding, Zhi, Jin, Shi, Letaief, Khaled B., Li, Geoffrey Ye
The integration with artificial intelligence (AI) is recognized as one of the six usage scenarios in next-generation wireless communications. However, several critical challenges hinder the widespread application of deep learning (DL) techniques in w
Externí odkaz:
http://arxiv.org/abs/2409.04302
Intelligent Transportation Systems (ITS) leverage Integrated Sensing and Communications (ISAC) to enhance data exchange between vehicles and infrastructure in the Internet of Vehicles (IoV). This integration inevitably increases computing demands, ri
Externí odkaz:
http://arxiv.org/abs/2408.14831
In the Internet of Vehicles (IoV), Federated Learning (FL) provides a privacy-preserving solution by aggregating local models without sharing data. Traditional supervised learning requires image data with labels, but data labeling involves significan
Externí odkaz:
http://arxiv.org/abs/2408.09194
The forthcoming generation of wireless technology, 6G, promises a revolutionary leap beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent services, where everything is interconnected and intelligent. This vis
Externí odkaz:
http://arxiv.org/abs/2408.08074
With the exponential surge in traffic data and the pressing need for ultra-low latency in emerging intelligence applications, it is envisioned that 6G networks will demand disruptive communication technologies to foster ubiquitous intelligence and su
Externí odkaz:
http://arxiv.org/abs/2408.04825
Autor:
Sun, Geng, Wang, Yixian, Niyato, Dusit, Wang, Jiacheng, Wang, Xinying, Poor, H. Vincent, Letaief, Khaled B.
Recent advances in generative artificial intelligence (AI), and particularly the integration of large language models (LLMs), have had considerable impact on multiple domains. Meanwhile, enhancing dynamic network performance is a crucial element in p
Externí odkaz:
http://arxiv.org/abs/2407.20840
Vehicular edge computing (VEC) is an emerging technology with significant potential in the field of internet of vehicles (IoV), enabling vehicles to perform intensive computational tasks locally or offload them to nearby edge devices. However, the qu
Externí odkaz:
http://arxiv.org/abs/2407.13123
This work considers a reconfigurable intelligent surface (RIS)-aided cell-free massive multiple-input multiple-output (MIMO) system with RIS spatial correlation and electromagnetic interference (EMI). We propose a two-phase channel estimation scheme
Externí odkaz:
http://arxiv.org/abs/2407.10386