Understanding and predicting mobility are essential for the design and evaluation of future
mobile edge caching and networking. Consequently, research on human mobility prediction …

In this article, we propose FLAG for flexible, accurate, and long-time user load prediction in a
large-scale WiFi system. FLAG enables prediction customization in both time granularity and …

WiFi has become one of the most popular ways to access the Internet. However, in large-
scale campus wireless networks, it is challenging for network administrators to provide …

The number of deployed Internet of Things (IoT) devices is steadily increasing to manage
and interact with community assets of smart cities, such as transportation systems and power …

Human mobility information is widely needed by many sectors in smart cities, especially for
public transport. This work designs lightweight algorithms to perform stop detection …

Human mobility plays an important role in multiple research areas, ranging from virus
spread research to network performance analysis. As real-world campaigns tend to be …

Networking research, especially focusing on human mobility, has evolved significantly in the
last two decades and now relies on collection and analyzing larger datasets. The increasing …

Large-scale WiFi system is gaining an increasing momentum rapidly in most corporate
places. Enabling edge functions on the system is imperative to support unprecedented edge …

In this paper, our goal is to model the aggregate mobility of individuals in a city by analyzing
cellular network connections, and then leverage the designed mobility model to model and …

Mobility and network traffic have been traditionally studied separately. Their interaction is
vital for generations of future mobile services and effective caching, but has not been studied …