Abstract Machine learning and deep learning models are commonly developed using
programming languages such as Python, C++, or R and deployed as web apps delivered …

Deploying aerial infrastructure to support traditional terrestrial wireless communications has
enhanced the maturity of 5G networks and beyond. This improvement has certainly …

Achieving a high Quality of Experience (QoE) in live event streaming is a challenging
problem given a low-latency requirement and time-varying network conditions. Adaptive …

Streaming of live 360-degree video allows users to follow a live event from any view point
and has already been deployed on some commercial platforms. However, the current …

Live video streaming is widely embraced in video services, and its applications have
attracted much attention in recent years. The increased number of users demanding high …

The increasing demand for video streaming in all forms draws significant research and
development attention, especially on the client-side for adaptive streaming services like …

The outbreak of COVID-19 has dramatically promoted the explosive proliferation of multi-
party realtime video streaming (MRVS) services, represented by Zoom and Microsoft Teams …

The widespread availability of convenient wireless network connection and video capture
have fueled the development of multi-party realtime video streaming (MRVS) services, such …

We address the problem of a Network Operator (NO) owning limited resources at the
network edge. The NO wishes to enable advanced services, by virtualizing and allocating …

Video streaming continues to captivate attention of users and service providers, dominate in
Internet traffic, and form a vibrant research field. Taking a pragmatic approach to reviewing …