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Massive MIMO Channel-Aware Decision Fusion
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
2015 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 63, no 3, 604-619 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, we provide a study of channel-aware decision fusion (DF) over a "virtual" multiple-input multiple-output (MIMO) channel in the large-array regime at the DF center (DFC). The considered scenario takes into account channel estimation and inhomogeneous large-scale fading between the sensors and the DFC. The aim is the development of (widely) linear fusion rules, as opposed to the unsuitable optimum log-likelihood ratio (LLR). The proposed rules can effectively benefit from performance improvement via a large array, differently from existing suboptimal alternatives. Performance evaluation, along with theoretical achievable performance and complexity analysis, is presented. Simulation results are provided to confirm the findings. Analogies and differences with uplink communication in a multiuser (massive) MIMO scenario are underlined.

Place, publisher, year, edition, pages
2015. Vol. 63, no 3, 604-619 p.
Keyword [en]
Decision fusion, distributed detection, large-scale MIMO, wireless sensor networks
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-245347DOI: 10.1109/TSP.2014.2376886ISI: 000348374000006OAI: oai:DiVA.org:uu-245347DiVA: diva2:791431
Available from: 2015-02-27 Created: 2015-02-26 Last updated: 2017-12-04Bibliographically approved

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Dey, Subhrakanti

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