Federated Learning (FL) is expected to play a prominent role for privacy-preserving machine
learning (ML) in autonomous vehicles. FL involves the collaborative training of a single ML …

The interconnection of vehicles in the future fifth generation (5G) wireless ecosystem forms
the so-called Internet of Vehicles (IoV). IoV offers new kinds of applications requiring delay …

Multi-access edge computing (MEC) is a key enabler to reduce the latency of vehicular
network. Due to the vehicles mobility, their requested services (eg, infotainment services) …

This paper studies the multi-agent resource allocation problem in vehicular networks using
non-orthogonal multiple access (NOMA) and network slicing. Vehicles want to broadcast …

This article studies the problem of online user grouping, scheduling, and power allocation
for massive Internet of Things (IoT) access in beyond 5G networks using nonorthogonal …

To meet the extremely low latency requirements of 6G Internet of Things (IoT) services, 6G
network should be able to intelligently allocate the network resources. Based on Mobile …

In this paper, we address the resource provisioning problem for service function chaining
(SFC) in terms of the placement and chaining of virtual network functions (VNFs) within a …

This paper studies the problem of massive Internet of things (IoT) access in beyond fifth
generation (B5G) networks using non-orthogonal multiple access (NOMA) technique. The …

RÉSUMÉ L'évolution des technologies de l'information entraîne la prolifération des
dispositifs connectés qui mène à l'exploration de nouveaux champs d'application. Ces …

Architectural innovation is one of the leading development directions of the telecommuni-
cation network. It overcomes barriers left by the traditional network, such as inefficient …