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Massive MIMO meets decision fusion: Decode-and-fuse vs. decode-then-fuse
Department of Industrial and Information Engineering, Second University of Naples, Italien.
Department of Industrial and Information Engineering, Second University of Naples, Italien.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
2014 (English)In: 2014 IEEE 8TH Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014, 265-268 p.Conference paper, Published paper (Refereed)
Abstract [en]

We study channel-aware decision fusion over a multiple-input multiple-output (MIMO) channel in the large-array regime at the decision-fusion center (DFC). Inhomogeneous large-scale fading between the sensors and the DFC is consider in addition to the small-scale fading, and pilot-based channel estimation is performed at the DFC. Linear processing techniques are analyzed in order to design low-complexity alternatives to the optimum log-likelihood ratio test (LLRT). Performance evaluation based on Monte Carlo simulations are presented.

Place, publisher, year, edition, pages
2014. 265-268 p.
Series
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, ISSN 1551-2282
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering with specialization in Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-238934ISI: 000360273100067ISBN: 978-1-4799-1481-4 (print)OAI: oai:DiVA.org:uu-238934DiVA: diva2:772862
Conference
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), 22-25 june, 2014, A Coruna, Spain
Available from: 2014-12-17 Created: 2014-12-17 Last updated: 2015-10-14Bibliographically approved

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Dey, Subhrakanti

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