This paper proposes on-driving experience sharing algorithms at junctions in infrastructure-
assisted vehicles-to-everything networks. For the purpose, a millimeter-wave (mmWave) …

In modern networks, the use of drones as mobile base stations (MBSs) has been discussed
for coverage flexibility. However, the realization of drone-based networks raises several …

The 3rd Generation Partnership Project (3GPP) is investing a notable effort to mitigate the
endogenous stack and protocol delays (eg, introducing new numerology, through …

In modern security systems such as CCTV-based surveillance applications, real-time deep-
learning based computer vision algorithms are actively utilized for always-on automated …

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) …

As the number of low Earth orbit satellites is increasing, new algorithms and high-
performance computing resources are needed to handle the enormous real-time arrival data …

Realtime face identification (FID) from a video feed is highly computation-intensive, and may
exhaust computation resources if performed on a device with a limited amount of resources …

The traditional network traffic anomaly detection method is based on the principle of feature
extraction and matching for a large amount of abnormal traffic data to achieve traffic anomaly …

The heterogeneous services with stringent requirements that are envisioned to co-exist
under the fifth generation of cellular networks (5G), inexorably challenge the current Long …