The combination of nonorthogonal multiple access (NOMA) technique and unmanned aerial
vehicle (UAV) provides an effective solution for achieving massive connections and …

The future generation of wireless communication networks demands for high spectral
efficiency to accommodate a large number of devices over the limited available frequency …

To cope with rapid growth of video services, we propose a non-orthogonal multiple access
(NOMA) based scalable video multicast (NOMA-SVM) framework for mobile networks, by …

In this work, a cognitive relay network (CRN) with interference constraint from the primary
user (PU) with a mobile end user is studied. The proposed system model employs a half …

Federated Learning (FL) enables the distributed machine learning (ML) without violating the
privacy of local users. In the scenario wireless FL, it is challenging for some local clients to …

Federated learning (FL) has been considered as a promising paradigm for enabling
distributed machine learning (ML) in wireless networks. To address the limited energy …

Roadside WiFi network has been widely considered for the drive-thru internet access.
However, the data throughput is significantly affected by the access procedure that includes …

Aiming at the problem that it is quite hard to guarantee the real-time requirements of medical
users with high efficiency and low latency in the current Internet of Medical Things (IoMT) …

Virtual reality (VR) provides users with an immersive and interactive experience through
head-mounted devices, which has attracted increasing attention in recent years. Specifically …

In this article, we investigate the cellular assisted mobile edge computing (MEC) via non-
orthogonal multiple access (NOMA), where a group of edge-computing users (EUs) exploit …