This article investigates the cache-enabling unmanned aerial vehicle (UA...
In this article, we investigate the content distribution in the hotspot ...
Graph Convolutional Networks (GCNs) and their variants have received
sig...
Millimeter wave (mmWave) communications can potentially meet the high
da...
With reinforcement learning, an agent could learn complex behaviors from...
Vehicle-to-everything (V2X) is considered as one of the most important
a...
The marriage of wireless big data and machine learning techniques
revolu...
Orthogonal time frequency space (OTFS) is a promising technology for
hig...
In device-to-device (D2D)-enabled caching cellular networks, the user
te...
Orthogonal time frequency space (OTFS) modulation can effectively conver...
The recent success of single-agent reinforcement learning (RL) encourage...
In this paper, we propose a deep reinforcement learning (DRL) based mobi...
The cloud radio access network (C-RAN) is a promising paradigm to meet t...
Channel interpolation is an essential technique for providing high-accur...