Â
RESEARCH STRANDS
Using Data to Drive Networking
We are interested in exploiting data science and machine learning to drive network optimization from design to deployment to operations. Our long-term goal is to develop new algorithms to tackle complex high-dimensional optimization problems in wireless networks. The €1.1m project spans 4 years and involves universities and SMEs from Europe, USA, and China. You can read on to find out more about these projects below.
TRAFFIC & MOBILITY MODELS
November, 2017
In an effort to gain a better understanding of the world around us, we have recently begun to use structured data analytics tailored to urban geography as a new technique to investigate human data demand and mobility patterns. We are currently looking to expand this work by collaborating with other labs who have data and use models to drive proactive optimization.
Get in Touch
MINING CONSUMER EXPERIENCE
November 2017
Consumer experience and satisfaction drive profit margins and the wider digital economy. We have developed Natural Language Processing tools specifically to target wireless consumer satisfaction. A major advantage of social media analysis is to reduce customer feedback lag and directly use the data to inform infrastructure design and deployment.
Get in Touch
NETWORK SELF ORGANISATION
November 2017
As we increase network complexity, we must allow networks to self-organize and optimize. Using data from traffic demand and consumer experience, we can personalize network services. In turn, this can further inform and improved data collection.
Get in Touch
MOBILE EDGE CACHING & COMPUTING
November 2017
Develop mechanisms and exploit node storage capabilities for proactive caching of content closer to the end-users, improve content delivery, and reduce congestion in the backhaul. Develop proactive caching algorithms for D2D communications and support user-end MEC.
Get in Touch
Â
WEISI GUO
University of Warwick
Coordinator & Principle Investigator
Associate Professor and Turing Fellow at the University of Warwick. Expertise: Signal Processing, Network Science, Machine Learning.
JIE ZHANG
Ranplan
Co-Coordinator & Chief Scientific Officer
Prof. Jie Zhang is an internationally recognized leader in small cell network planning and operations. He founded Ranplan, now a Nasdaq listed company.
KOSTAS TSAGKARIS
WINGS-ICT
Founder
WINGS is an SME that focuses on the development of software for various vertical sectors through advanced wireless, cloud/IoT, big data and security technologies.
XIAOLI CHU
University of Sheffield
Principle Investigator
Reader. Experienced, trustworthy, fun. Mobility models, handovers, radio resource management. Loves hugging small cells.
MARCO FIORE
CNR-IEIIT
Principle Investigator
His research interests are in the fields of mobile networking and the characterization of user mobility in wireless access and spontaneous networks.
YUE WU
ECUST
Principle Investigator
Yue Wu is a lecturer at ECUST specializing in optimization and cloud-RAN.
ZUBAIR SHAFIQ
Iowa University
Principle Investigator
Zubair Shafiq is an Assistant Professor of Computer Science at the University of Iowa.
BOWEI YANG
Zhejiang University
Principle Investigator
Associate Professor at Zhejiang University.
Â
PUBLISHED WORK
5G MULTISCALE MOBILITY: A LOOK AT CURRENT AND UPCOMING MODELS IN THE NEXT TECHNOLOGY ERA
January 2018
IEEE Vehicular Technology Magazine
DATA-DRIVEN DEPLOYMENT AND COOPERATIVE SELF-ORGANIZATION IN ULTRA-DENSE SMALL CELL NETWORKS
April, 2018
IEEE Access
DEEP LEARNING FOR INTERFERENCE CANCELLATION IN NON-ORTHOGONAL SIGNAL BASED OPTICAL COMMUNICATION SYSTEMS
August, 2018
Progress In Electromagnetics Research Symposium
ENHANCED 5G COGNITIVE RADIO NETWORKS BASED ON SPECTRUM SHARING AND SPECTRUM AGGREGATION
August, 2018
IEEE Transactions on Communications
Â
CONTACT US
Â
Â
Â