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 …

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 …

This paper considers an active reconfigurable intelligent surface (RIS)-aided integrated
sensing and communication (ISAC) system. We aim to maximize radar signal-to-interference …

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 …

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 …

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 …

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 …

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

The utilization of a large-scale antenna array has led to substantial performance
improvements in anti-jamming communications. However, due to the practical constraints of …

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 …