Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …

Internet of Drones (IoD) is one of the promising technologies to enhance the performance of
wireless networks. Deploying IoD to assist wireless networks, however, needs to address …

Federated learning (FL) is a promising paradigm for future sixth-generation wireless systems
to underpin network edge intelligence for smart cities applications. However, most of the …

In the sixth generation (6G) of mobile communication networks, radio resource allocation
management (RRAM) systems must offer high levels of customization and sustainability in …

Federated edge learning (FEEL) is a rapidly growing distributed learning technique for next-
generation wireless edge systems. Smart systems across various application domains face …

Internet of Drones (IoD)-aided wireless networks are proving their efficiency in various
commercial and military applications, such as object recognition, surveillance, and data …

Heterogeneous wireless networks (HetNets), where networks are deployed with ultra-dense
small cells (SCs), is one of the main enabling technologies for future wireless networks. In …

Multi-radio access technologies (RATs) networks, where various heterogeneous networks
(HetNets) coexist, are in service nowadays and considered a main enabling technology for …

Researchers and practitioners have recently shown interest in deploying federated learning
for enhanced privacy preservation in wireless edge networks. In such settings, resource …

Reconfigurable Intelligent Surface (RIS) has recently emerged as an enabling technology to
enhance reliability and overcome blockage in future heterogeneous wireless networks …