Call detail records (CDR) collected by mobile phone network providers have been largely
used to model and analyze human-centric mobility. Despite their potential, they are limited in …

Cellular traffic prediction plays an important role in network management and resource
utilization. However, due to the high nonlinearity and dynamic spatial-temporal correlation, it …

With the explosive growth of ubiquitous mobile services and the advent of the 5G era, ultra‐
dense wireless network (UDN) architectures have entered daily production and life …

The scarcity of publicly available cellular association traces hinders user location-based
research and various data-driven services, highlighting the importance of data synthesis in …

Data from the cellular network have been proved as one of the most promising way to
understand large-scale human mobility for various ubiquitous computing applications due to …

Efficient representations for spatio-temporal cellular Signaling Data (SD) are essential for
many human mobility applications. Traditional representation methods are mainly designed …

Mobile users demand more and more data traffic, yet network resources are limited. This
creates a challenge for network resource management. One way of addressing this …

Human mobility data may lead to privacy concerns because a resident can be re-identified
from these data by malicious attacks even with anonymized user IDs. For an urban service …

Since the beginning of time, written text has been a means to communicate, express, and
document something of significance. Even in the modern age, it has been proven a lot of …

End-to-end congestion control in lossless data center networks (DCN) depends on
congestion detection. However, many current congestion control mechanisms ignore the …