Data Aware Wireless Networks for Internet of Everything

Informazioni relative al progetto

DAWN4IoE

ID dell’accordo di sovvenzione: 778305

DOI

10.3030/778305

Progetto chiuso

Data della firma CE 6 Novembre 2017

Data di avvio 1 Dicembre 2017

Data di completamento 30 Settembre 2023

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 1 107 000,00

Contributo UE

€ 850 500,00

Coordinato da

UNIVERSITY OF WARWICK
United Kingdom

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (16)

Report on proactive decision algorithms for MEC
Database of traffic hotspots generated from OSN data and other heterogeneous data sets
Report on spectrum access mechanisms using LAA
Report on case study areas and performance
Database of lexicons for NLP filter

Database of lexicons for NLP filter.

Report on D2D enabled user-end swarm MEC.

Report on D2D enabled userend swarm MEC

Report on integrated iBuildNet with traffic hotspot

Report on integrated iBuildNet with traffic hotspot and service blackspot data with performance evaluation

Report on proactive offloading traffic to D2D layer
Database of traffic hotspots with location contexts generated from open data sets

Database of traffic hotspots with location contexts generated from open data sets.

Report on machine learning classifiers for QoE

Report on machine learning classifiers for QoE.

Report on data analytics tool for generating traffic hotspots using irregular geometry clustering filters.

Report on data analytics tool for generating traffic hotspots using irregular geometry clustering filters

Report on managing distributed resources for D2D.
Report on reinforcement learning methods

Report on reinforcement learning methods for radio antenna and coordinated sleep mode mechanisms

Report on mobility prediction
Report on caching mechanism for MEC
Database of case studies for small cell deployment

Pubblicazioni

Peer reviewed articles (16)

Context-Aware Proactive 5G Load Balancing and Optimization for Urban Areas

Autori: Bo Ma; Bowei Yang; Yunpeng Zhu; Jie Zhang
Pubblicato in: IEEE Access, Numero 1, 2020, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.2964562

Multiuser Adversarial Attack on Deep Learning for OFDM Detection

Autori: Youjie Ye; Yunfei Chen; Mingqian Liu
Pubblicato in: IEEE Wireless Communications Letters, Numero 21622337, 2022, ISSN 2162-2337
Editore: IEEE Communications Society
DOI: 10.1109/lwc.2022.3207348

Enhanced 5G Cognitive Radio Networks Based on Spectrum Sharing and Spectrum Aggregation

Autori: Wensheng Zhang, Cheng-Xiang Wang, Xiaohu Ge, Yunfei Chen
Pubblicato in: IEEE Transactions on Communications, Numero 66/12, 2018, Pagina/e 6304-6316, ISSN 0090-6778
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcomm.2018.2863385

A Survey of Online Data-Driven Proactive 5G Network Optimisation Using Machine Learning

Autori: Bo Ma, Weisi Guo, Jie Zhang
Pubblicato in: IEEE Access, Numero 8, 2020, Pagina/e 35606-35637, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.2975004

Further Results on Detection and Channel Estimation for Hardware Impaired Signals

Autori: Yunfei Chen, Zhutian Yang, Jie Zhang, Mohamed-Slim Alouini
Pubblicato in: IEEE Transactions on Communications, Numero 12 issues a year, 2021, Pagina/e 7167 - 7179, ISSN 0090-6778
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcomm.2021.3100430

Data-Driven Deployment and Cooperative Self-Organization in Ultra-Dense Small Cell Networks

Autori: Zhiyong Du, Youming Sun, Weisi Guo, Yuhua Xu, Qihui Wu, Jie Zhang
Pubblicato in: IEEE Access, Numero 6, 2018, Pagina/e 1-1, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2018.2826846

Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata

Autori: Ghazaleh Khodabandelou, Vincent Gauthier, Marco Fiore, Mounim A. El Yacoubi
Pubblicato in: IEEE Transactions on Mobile Computing, 2018, Pagina/e 1-1, ISSN 1536-1233
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TMC.2018.2871156

RACH Preamble Repetition in NB-IoT Network

Autori: Nan Jiang, Yansha Deng, Massimo Condoluci, Weisi Guo, Arumugam Nallanathan, Mischa Dohler
Pubblicato in: IEEE Communications Letters, Numero 22/6, 2018, Pagina/e 1244-1247, ISSN 1089-7798
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/LCOMM.2018.2793274

Resource Allocation and Power Control for D2D Communications to Prolong the Overall System Survival Time of Mobile Cells

Autori: Zitian Zhang, Yue Wu, Xiaoli Chu, Jie Zhang
Pubblicato in: IEEE Access, Numero 7, 2019, Pagina/e 1-1, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2019.2893378

Text Classification Based on Conditional Reflection

Autori: Yanliang Jin, Can Luo, Weisi Guo, Jinfei Xie, Dijia Wu, Rui Wang
Pubblicato in: IEEE Access, Numero 7, 2019, Pagina/e 76712-76719, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2019.2921976

Resource Allocation and Power Control to Maximize the Overall System Survival Time for Mobile Cells With a D2D Underlay

Autori: Zitian Zhang, Yue Wu, Xiaoli Chu, Jie Zhang
Pubblicato in: IEEE Communications Letters, Numero 23/5, 2019, Pagina/e 880-883, ISSN 1089-7798
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lcomm.2019.2901880

Non-Orthogonal Signal Transmission Over Nonlinear Optical Channels

Autori: Tongyang Xu, Tianhua Xu, Polina Bayvel, Izzat Darwazeh
Pubblicato in: IEEE Photonics Journal, Numero 11/3, 2019, Pagina/e 1-13, ISSN 1943-0655
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jphot.2019.2904960

Deep Learning Based Predictive Beamforming Design

Autori: Juping Zhang, Gan Zheng, Yangyishi Zhang, Ioannis Krikidis, and Kai-Kit Wong
Pubblicato in: IEEE Transactions on Vehicular Technology, Numero 12 issues yearly, 2023, Pagina/e 8122 - 8127, ISSN 0018-9545
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvt.2023.3238108

Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression, and Challenges

Autori: Zhiyong Du, Yansha Deng, Weisi Guo, Arumugam Nallanathan, Qihui Wu
Pubblicato in: IEEE Vehicular Technology Magazine, 2020, Pagina/e 0-0, ISSN 1556-6072
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mvt.2020.3015184

Radio Sensing Using 5G Signals: Concepts, State-of-the-art and Challenges

Autori: Yunfei Chen, Jie Zhang, Wei Feng, Mohamed-Slim Alouini
Pubblicato in: IEEE Internet of Things Journal, Numero 24 issues a year, 2021, Pagina/e 1037 - 1052, ISSN 2327-4662
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jiot.2021.3132494

Explainable Artificial Intelligence for 6G: Improving Trust between Human and Machine

Autori: Weisi Guo
Pubblicato in: IEEE Communications Magazine, Numero 58/6, 2020, Pagina/e 39-45, ISSN 0163-6804
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.001.2000050

Conference proceedings (4)

Deep Learning for Interference Cancellation in Non-Orthogonal Signal Based Optical Communication Systems

Autori: Tongyang Xu, Tianhua Xu, Izzat Darwazeh
Pubblicato in: 2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama), 2018, Pagina/e 241-248, ISBN 978-4-8855-2316-8
Editore: IEEE
DOI: 10.23919/piers.2018.8597902

Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale

Autori: Rajkarn Singh, Marco Fiore, Mahesh Marina, Alberto Tarable, Alessandro Nordio
Pubblicato in: The World Wide Web Conference on - WWW '19, 2019, Pagina/e 1724-1734, ISBN 9781-450366748
Editore: ACM Press
DOI: 10.1145/3308558.3313628

Geo-Tagging Quality-of-Experience Self-Reporting on Twitter to Mobile Network Outage Events

Autori: Weijie Qi, Weisi Guo, Rob Procter, Jie Zhang
Pubblicato in: 2019 IEEE International Smart Cities Conference (ISC2), 2019, Pagina/e 651-657, ISBN 978-1-7281-0846-9
Editore: IEEE
DOI: 10.1109/isc246665.2019.9071736

Dynamic Spatial Cluster Process Model of Geo-Tagged Tweets in London

Autori: Matteo Mazzamurro, Yue Wu, Weisi Guo
Pubblicato in: 2019 IEEE International Smart Cities Conference (ISC2), 2019, Pagina/e 678-684, ISBN 978-1-7281-0846-9
Editore: IEEE
DOI: 10.1109/isc246665.2019.9071657