Network communication has become a part of everyday life, and the interconnection among
devices and people will increase even more in the future. Nevertheless, prediction of Quality …

It is challenging to deal with the Internet congestion problem because of several factors such
as ever-growing traffic and distributed network architecture. The congestion problem can be …

Machine learning-based data rate prediction is one of the key drivers for anticipatory mobile
networking with applications such as dynamic Radio Access Technology (RAT) selection …

Mobile apps are increasingly relying on high-throughput and low-latency content delivery,
while the available bandwidth on wireless access links is inherently time-varying. The …

With the rapid development of wireless technology and the edge computing applications, an
increasing number of 4G/5G infrastructure are densely deployed to meet the booming …

Mobile communication has become a part of everyday life and is considered to support
reliability and safety in traffic use cases such as conditionally automated driving …

The provision of reliable connectivity is envisioned as a key enabler for future autonomous
driving. Anticipatory communication techniques have been proposed for proactively …

Characterizing and evaluating the performance of Mobile Broadband (MBB) networks is a
vital need for today's societies. Testbed-based measurements are of great significance in …

Dynamic adaptive video streaming over HTTP (DASH) is widely studied and has been
adopted in modern video players to ensure user quality of experience (QoE). In DASH …

Throughput prediction remains a relevant and challenging problem in the area of wireless
networking. Both users and service providers would benefit from the predictive Quality of …