Abstract Network Demand Prediction is of great importance to network planning and
dynamically allocating network resources based on the predicted demand, this can be very …

Caching at the edge of mobile networks can significantly offload network traffic while
satisfying content requests from mobile users locally. The contents can be requested from …

Future average channel gains are recently reported predictable within a minute-level
horizon for a mobile user. Predictive resource allocation for non-realtime service with future …

The dichotomy between two opposite propensities, exploration and exploitation,
characterizes and drives many human behaviors, from decision making to social learning …

Nowadays, mobile devices become more and more important in people's daily life. A lot of
mobile devices connect to the internet through the base stations. Since base station has …

This paper presents a cooperation framework for sharing base stations (BSs) among N
number of collocated radio-access networks (RANs) for improving energy efficiency (EE) …

The physics and economics of cellular networks often means that there is a need to treat
some services differently. This reality has spawned several technical mechanisms in the …

Understanding the nature of data network traffic is critical in network design, man-agement,
control, and optimization. In this report, we leverage two large-scale real-world datasets …

Although geo-tagged mobility data (eg, cell phone data and social media data) can be
potentially used to estimate individual space-time travel trajectories, they often have low …

Network slicing has been considered as a key enabling technology for 5G due to its ability to
customize and" slice" a common resource to support diverse services and verticals. This …