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Data Aware Wireless Networks for Internet of Everything

Total Cost €


EC-Contrib. €






Project "DAWN4IoE" data sheet

The following table provides information about the project.


Organization address
address: Kirby Corner Road - University House
postcode: CV4 8UW

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 1˙107˙000 €
 EC max contribution 850˙500 € (77%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2017
 Funding Scheme MSCA-RISE
 Starting year 2017
 Duration (year-month-day) from 2017-12-01   to  2021-11-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF WARWICK UK (COVENTRY) coordinator 270˙000.00
3    THE UNIVERSITY OF SHEFFIELD UK (SHEFFIELD) participant 135˙000.00
6    Baicells Technologies Co., Ltd CN (Beijing) partner 0.00
8    The University of Iowa US (Iowa City) partner 0.00
9    Zhejiang University CN (HANGZHOU) partner 0.00


 Project objective

Whilst traffic demand is increasing exponentially, network operators’ revenue remains flat. There is an urgent for data driven 4G/5G networks. In this project, we exploit heterogeneous big data analytics to optimize both the deployment and operations of wireless networks. We design protocols that enable future Data Aware Wireless Networks (DAWN) for enabling a new age of Internet of Everything (IoE). The proposal has been developed to address the following open issues in data driven flexible systems: • How to characterize user mobility and wireless data traffic patterns • How to infer user Quality-of-Experience (QoE) from combining data sets • How to use data analytics to assist cell planning • How to use data driven techniques to optimise the network using Self-Organising-Network (SON) algorithms • How to optimally cache data to accelerate and optimise data storage and transmission.

The research objectives of the DAWN4IoE project are as follows: • Develop appropriate spatial-temporal structured filters to combine different data sets and infer both human location/mobility and digital data demand patterns. • Develop appropriate machine-learning techniques for unstructured natural language processing (NLP) to understand consumer experience for different service categories. • Design algorithms to integrate the new data analytics techniques with current state-of-the-art deployment techniques to assist HetNet planning, performance prediction, and deployment • Design mechanisms to integrate structured and unstructured data analytics to drive SON algorithms for radio resource management and smart antenna elements. • Design algorithms to optimally cache data leveraging on mobile edge computing (MEC).

Achieving the above objectives will provide crucial inputs for 5G/B5G data-driven flexible wireless network design and both increase network capacity by 50% and decrease operation costs by 20-30% (compared with non-data driven networks).


List of deliverables.
Database of traffic hotspots with location contexts generated from open data sets Documents, reports 2020-02-12 12:04:58
Database of traffic hotspots generated from OSN data and other heterogeneous data sets Documents, reports 2020-02-12 12:04:49
Report on caching mechanism for MEC Documents, reports 2020-02-12 12:04:51
Report on data analytics tool for generating traffic hotspots using irregular geometry clustering filters. Documents, reports 2020-02-12 12:04:41
Report on machine learning classifiers for QoE Documents, reports 2020-02-12 12:04:53
Database of lexicons for NLP filter Documents, reports 2020-02-12 12:04:46
Report on managing distributed resources for D2D. Documents, reports 2020-01-14 15:54:51
Report on spectrum access mechanisms using LAA Documents, reports 2019-11-26 17:57:19

Take a look to the deliverables list in detail:  detailed list of DAWN4IoE deliverables.


year authors and title journal last update
List of publications.
2019 Tongyang Xu, Tianhua Xu, Polina Bayvel, Izzat Darwazeh
Non-Orthogonal Signal Transmission Over Nonlinear Optical Channels
published pages: 1-13, ISSN: 1943-0655, DOI: 10.1109/jphot.2019.2904960
IEEE Photonics Journal 11/3 2020-01-29
2018 Tongyang Xu, Tianhua Xu, Izzat Darwazeh
Deep Learning for Interference Cancellation in Non-orthogonal Signal Based Optical Communication Systems
published pages: , ISSN: , DOI:
Progress In Electromagnetics Research Symposium 40th Conference 2019-11-26
2019 Matteo Mazzamurro, Yue Wu, Weisi Guo
Dynamic Spatial Cluster Process Model of Geo-Tagged Tweets in London
published pages: , ISSN: , DOI:
IEEE International Smart Cities Conference 2019-11-26
2019 Zitian Zhang, Yue Wu, Xiaoli Chu, Jie Zhang
Resource Allocation and Power Control to Maximize the Overall System Survival Time for Mobile Cells With a D2D Underlay
published pages: 880-883, ISSN: 1089-7798, DOI: 10.1109/lcomm.2019.2901880
IEEE Communications Letters 23/5 2019-11-26
2019 Weisi Guo
Swarm UAV Communications with Diversity and Delay Trade-off using Mobile Caching
published pages: , ISSN: , DOI:
IEEE International Smart Cities Conference 2019-11-26
2019 Weijie Qi, Weisi Guo, Rob Procter, Jie Zhang
Geo-Tagging Quality-of-Experience Self-Reporting on Twitter to Mobile Network Outage Events
published pages: , ISSN: , DOI:
IEEE International Smart Cities Conference 2019-11-26
2019 Yanliang Jin, Can Luo, Weisi Guo, Jinfei Xie, Dijia Wu, Rui Wang
Text Classification Based on Conditional Reflection
published pages: 76712-76719, ISSN: 2169-3536, DOI: 10.1109/access.2019.2921976
IEEE Access 7 2019-11-26
2018 Wensheng Zhang, Cheng-Xiang Wang, Xiaohu Ge, Yunfei Chen
Enhanced 5G Cognitive Radio Networks Based on Spectrum Sharing and Spectrum Aggregation
published pages: 1-1, ISSN: 0090-6778, DOI: 10.1109/TCOMM.2018.2863385
IEEE Transactions on Communications 2019-11-26
2018 Nan Jiang, Yansha Deng, Massimo Condoluci, Weisi Guo, Arumugam Nallanathan, Mischa Dohler
RACH Preamble Repetition in NB-IoT Network
published pages: 1244-1247, ISSN: 1089-7798, DOI: 10.1109/LCOMM.2018.2793274
IEEE Communications Letters 22/6 2019-11-26
2018 Ghazaleh Khodabandelou, Vincent Gauthier, Marco Fiore, Mounim A. El Yacoubi
Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata
published pages: 1-1, ISSN: 1536-1233, DOI: 10.1109/TMC.2018.2871156
IEEE Transactions on Mobile Computing 2019-11-26
2019 Rajkarn Singh, Marco Fiore, Mahesh K. Marina, Alessandro Nordio, Alberto Tarable
Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale
published pages: , ISSN: , DOI:
Proceedings of the 2019 World Wide Web Conference (WWW\'19) 2019-11-26
2019 Zitian Zhang, Yue Wu, Xiaoli Chu, Jie Zhang
Resource Allocation and Power Control for D2D Communications to Prolong the Overall System Survival Time of Mobile Cells
published pages: 1-1, ISSN: 2169-3536, DOI: 10.1109/access.2019.2893378
IEEE Access 2019-11-26
2018 Antonino Orsino, Weisi Guo, Giuseppe Araniti
5G Multiscale Mobility : A Look at Current and Upcoming Models in the Next Technology Era
published pages: 120-129, ISSN: 1556-6072, DOI: 10.1109/MVT.2017.2772646
IEEE Vehicular Technology Magazine 13/1 2019-11-26
2018 Zhiyong Du, Youming Sun, Weisi Guo, Yuhua Xu, Qihui Wu, Jie Zhang
Data-Driven Deployment and Cooperative Self-Organization in Ultra-Dense Small Cell Networks
published pages: 1-1, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2018.2826846
IEEE Access 6 2019-11-26

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