With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …

Rapid advancements in the development of smart terminals and infrastructure, coupled with
a wide range of applications with complex requirements, are creating traffic demands that …

Abstract Intelligent Decision Model for efficient resource allocation in 5G broadband
communication networks is essential for ensuring the most efficient use of available …

Drones with integrated internet of things (IoT) technology now have a more comprehensive
range of potential uses, including those for surveillance, agriculture, search and rescue, and …

Abstract Machine learning is a branch of AI, and it gives computers the capacity to learn
automatically from data and prior experiences to recognize patterns and make predictions …

In this paper, the problem of joint communication and sensing is studied in the context of
terahertz (THz) vehicular networks. In the studied model, a set of service provider vehicles …

Mobile edge computing (MEC) can be used to reduce the task delay for users with limited
computing resources. However, in 6G networks, the diversity of tasks is greatly increased …

In this paper, to deal with the heterogeneity in federated learning (FL) systems, a knowledge
distillation (KD) driven training framework for FL is proposed, where each user can select its …

With the requirements of time-sensitive and highly reliable applications, it is difficult to
implement emerging communication technologies in internet of vehicles. Literature works …

The focus of this study is to examine how Artificial Intelligence (AI) influences the
deployment of resources in the context of Beyond 5G (B5G) communications for modern …