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THE H2020 DAWN4IOE

 

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.

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.

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.

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.

 
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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.

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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.

 

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

 

CONTACT US

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