Vehicular edge computing (VEC) can learn and cache most popular contents for vehicular
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …

In this paper, we propose a joint optimization design for a non-orthogonal multiple access
(NOMA)-based satellite-terrestrial integrated network (STIN), where a satellite multicast …

With the increasing demand of high data rate and massive access in both ultra-dense and
industrial Internet-of-things networks, spectral efficiency (SE) and energy efficiency (EE) are …

Beamforming is an effective means to improve the quality of the received signals in multiuser
multiple-input-single-output (MISO) systems. Traditionally, finding the optimal beamforming …

Federated Learning (FL) can protect the privacy of the vehicles in vehicle edge computing
(VEC) to a certain extent through sharing the gradients of vehicles' local models instead of …

To meet the future demand for huge traffic volume of wireless data service, the research on
the fifth generation (5G) mobile communication systems has been undertaken in recent …

In this paper, we explore the physical-layer security in cooperative wireless networks with
multiple relays where both amplify-and-forward (AF) and decode-and-forward (DF) protocols …

Vehicular edge computing (VEC) is an emerging technology with significant potential in the
field of Internet of Vehicles (IoV), enabling vehicles to perform intensive computational tasks …

Extremely large-scale reconfigurable intelligent surface (XL-RIS) has recently been
proposed and is recognized as a promising technology that can further enhance the …

With the deployment of high speed train (HST) systems increasing worldwide and their
popularity with travelers growing, providing broadband wireless communications (BWC) in …