Quantum deep learning is a research field for the use of quantum computing techniques for
training deep neural networks. The research topics and directions of deep learning and …

Online video services are responsible for a large amount of global data traffic, which is why
wireless video caching has become a major focus in order to deal with the increasing …

Unleashing the potential of unmanned aerial vehicles (UAVs) to play the role of caching
devices for furnishing layered video services to ground users (GUs) holds tremendous …

We consider cellular network caching with network-wide Orthogonal Multipoint Multicast
(OMPMC) delivery. We apply a probabilistic model for content placement at the Base …

With the development of communication technologies in 5G networks and the Internet of
things (IoT), a massive amount of generated data can improve machine learning (ML) …

In this paper, we review well-known handovers algorithms in satellite environment. The
modern research trends and contributions are proposed and summarized in order to …

With the massive increase of mobile user and sensor data in the heterogeneous Internet of
Things (IoT), the limited caching resources are challenging to meet people's increased data …

To address the limitations of the current proactive content caching technology for the 6th
generation (6G) mobile network, this article comprehensively analyzes the complex …

Edge caching is a widely adopted technique for improving network performance and user
experience. To optimize its benefits, researchers are exploring the use of recommendation …

Utilizing unmanned aerial vehicles (UAVs) as edge caching devices to provide scalable
video services to ground users is a promising endeavor, where the caching placement …