We shed new light on the mechanism behind how the dynamic behavior of a packet
scheduler at the link layer in mobile networks degrades the accuracy of conventional …

We propose PathML, an available bandwidth (ie, unused capacity of an end-to-end path)
estimation method based on a data-driven paradigm that uses machine learning with a large …

We uncover the reality of traffic differentiation in mobile virtual network operator (MVNO)
networks and shed new light on its negative impact on the accuracy of available bandwidth …

Available bandwidth (ABW) estimation in wireless networks is a critical issue for quality-of-
service (QoS) provisioning. Nowadays, a network path often contains at least one wireless …

Accurate cellular link bandwidth prediction can benefit upper-layer protocols significantly. In
this paper, we investigate how to predict cellular link bandwidth in LTE networks. We first …

In this paper, we explore multi-hop bandwidth estimation assuming arbitrary cross-traffic at
each node and develop a new probing method called Envelope that can asymptotically …

BART is a state-of-the-art active end-to-end bandwidth measurement method that estimates
not only the available bandwidth but also the link capacity of the bottleneck link. It uses a …

Examining the validity or accuracy of proposed available bandwidth estimation tools
remains a challenging problem. A common approach consists of evaluating a newly …

A fundamental problem of current bandwidth estimation methods is that they require
accurate packet time information. However, it is hard to accurately measure packet time …

Nowadays, tariffs and packages on offer for broadband worldwide gives a general story of
increased speed and reduced prices. As a complementary to fixed-line broadband access …