The mobile edge computing (MEC) technology can simultaneously provide high-speed
computing services for multiple vehicular users (VUs) in vehicular edge computing (VEC) …

The metaverse is regarded as a new wave of technological transformation that provides a
virtual space for people to interact through digital avatars. To achieve immersive user …

As a distributed learning approach, federated learning trains a shared learning model over
distributed datasets while preserving the training data privacy. We extend the application of …

The integration of Maritime Internet of Things (M-IoT) technology and unmanned
aerial/surface vehicles (UAVs/USVs) has been emerging as a promising navigational …

Energy efficiency (EE) is a significant performance indicator in unmanned aerial vehicle
(UAV)-assisted communication networks for providing a balance between power …

Nonorthogonal multiple access (NOMA) and mobile edge computing (MEC) are two key
emerging technologies for vehicular networks, where NOMA allows multiple vehicular user …

Enhanced mobile broadband (eMBB) and ultra-reliable and low-latency communications
(URLLC) are two major expected services in the fifth-generation mobile communication …

To facilitate the implementation of deep learning-based vehicular applications, vehicular
federated learning is introduced by integrating vehicular edge computing with the newly …

With the help of non-orthogonal multiple access (NOMA), the number of connections of the
beamspace multiple-input multiple-output (MIMO) systems can be improved with enhanced …

With powerful storage and computation capability, vehicular edge computing is considered
as a promising paradigm to enhance the safety and quality-of-service of vehicles in …