Being part of the 6G ecosystem vision, Connected and Automated Vehicles (CAVs) will
enjoy sophisticated tailored services offering road safety and entertainment for users. As one …

Network Slicing (NS) has transformed the landscape of resource sharing in networks,
offering flexibility to support services and applications with highly variable requirements in …

Network slicing is a key technology that can provide service assurance for the
heterogeneous application scenarios emerging in the next-generation networks. However …

The advent of communication technologies marks a transformative phase in critical
infrastructure construction, where the meticulous analysis of failures becomes paramount in …

The upcoming Sixth Generation (6G) networks aim for fully automated, intelligent network
functionalities and services. Therefore, Machine Learning (ML) is essential for these …

Clustered federated learning has garnered significant attention as an effective strategy for
enhancing model performance in non-independent and identically distributed (non-IID) data …

5G and Beyond 5G (B5G) networks are expected to support a wide range of business and
industry verticals with diverse quality of service (QoS) requirements, such as autonomous …

The open radio access network (O-RAN) is designed to support the diverse wireless
services for beyond 5th-generation (B5G) mobile networks. However, this also expands the …

The exponential growth of the Internet of Things (IoT) ecosystems has raised significant
cybersecurity concerns. Deep learning (DL)-based methods have shown promising …

Vehicle re-identification is a crucial research direction in computer vision for constructing
intelligent transportation systems and smart cities. However, privacy concerns pose …