Massive MIMO Localization for 5G Networks

Project Information

MassLOC

Grant agreement ID: 700044

DOI

10.3030/700044

Project closed

EC signature date 11 November 2016

Start date 1 September 2017

End date 31 August 2019

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 185 857,20

EU contribution

€ 185 857,20

Coordinated by

CHALMERS TEKNISKA HOGSKOLA AB
Sweden

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (3)

Impact of Rough Surface Scattering on Stochastic Multipath Component Models

Author(s): Josef Kulmer, Fuxi Wen, Nil Garcia, Henk Wymeersch, Klaus Witrisal
Published in: 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Issue 9-12 Sept. 2018, Annual, Bologna, Italy, 2018, Page(s) 1410-1416, ISBN 978-1-5386-6009-6
Publisher: IEEE
DOI: 10.1109/pimrc.2018.8580964

Robust MIMO Channel Estimation from Incomplete and Corrupted Measurements

Author(s): Fuxi Wen, Zhongmin Wang, Chen Liang
Published in: 2018 21st International Conference on Information Fusion (FUSION), Issue 10-13 July 2018, Annual, Cambridge, UK, 2018, Page(s) 1086-1091, ISBN 978-0-9964527-6-2
Publisher: IEEE
DOI: 10.23919/icif.2018.8455326

Tensor Decomposition Based Beamspace ESPRIT for Millimeter Wave MIMO Channel Estimation

Author(s): Fuxi Wen, Nil Garcia, Josef Kulmer, Klaus Witrisal, Henk Wymeersch
Published in: 2018 IEEE Global Communications Conference (GLOBECOM), Issue 9-13 Dec. 2018, Annual, Abu Dhabi, United Arab Emirates, 2018, Page(s) 1-7, ISBN 978-1-5386-4727-1
Publisher: IEEE
DOI: 10.1109/glocom.2018.8647176

Peer reviewed articles (1)

A survey on 5G massive MIMO localization

Author(s): Fuxi Wen, Henk Wymeersch, Bile Peng, Wee Peng Tay, Hing Cheung So, Diange Yang
Published in: Digital Signal Processing, Issue Monthly, 2019, ISSN 1051-2004
Publisher: Academic Press
DOI: 10.1016/j.dsp.2019.05.005