Autonomous vehicles are revolutionizing transport and next-generation autonomous
mobility. Such vehicles are promising to increase road safety, improve traffic efficiency …

Many industrial real-time applications in various domains, eg, automotive, industrial
automation, industrial IoT, and industry 4.0, require ultra-low end-to-end network latency …

Autonomous driving solutions stretch over different disciplines and technologies eg,
sensors, communication, computation, machine learning, data analytic, etc., that need to be …

Named Data Networking (NDN) revolutionized IP-based communication by introducing a
content-centric model, based on name-based communication. This paradigm shift offers …

This paper investigates the effect of offloading machine learning autonomous vehicle
algorithms to the edge of 5G networks. It describes the implementation of a field test …

Benefited from the development of intelligent transportation system and autonomous
vehicle, the autonomous valet parking has been attracting attentions worldwide. Compared …

Beyond 5th generation (5G) and 6th generation (6G) mobile systems require not only low
latency but also low jitter for deterministic services such as remote operation. Since remote …

The power system has some services that are sensitive to packet loss and delay, such as
distribution automation, distribution network differential protection, and intelligent …

Task offloading and scheduling is an important issue in mobile edge computing (MEC). A
good offloading decision can fully utilize the computing capabilities of edge servers to …

The joint support of 5th Generation (5G) technology and Time-Sensitive Networking (TSN)
promotes the development of autonomous driving. Though it ensures low latency and jitter …