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 …

This paper has the following ambitious goal: to convince the reader that content caching is
an exciting research topic for the future communication systems and networks. Caching has …

Device-to-Device (D2D) caching assists Mobile Edge Computing (MEC) based caching in
offloading inter-domain traffic by sharing cached items with nearby users, while its …

This paper proposes a deep reinforcement learning-based video streaming scheme for
mobility-aware vehicular networks, eg, vehicles on the highway. We consider infrastructure …

Edge caching, which offers application versatility and a range of benefits, has exerted a
significant impact on the adoption and development of fifth-generation networks and …

This paper proposes a video delivery strategy for dynamic streaming services which
maximizes time-average streaming quality under a playback delay constraint in wireless …

This paper surveys recent multiagent reinforcement learning and neural Myerson auction
deep learning efforts to improve mobility control and resource management in autonomous …

Recent years have witnessed video streaming demands evolve into one of the most popular
Internet applications. With the ever-increasing personalized demands for high-definition and …

Panoramic, or 360° video streaming and playback are prime components of mixed-reality
and panoramic movie-viewing experiences, they offer an immersive viewing experience …

In this paper, we propose a joint dynamic power control and user pairing algorithm for power-
efficient and delay-constrained hybrid multiple access systems. In a hybrid multiple access …