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Multi-Cell Massive MIMO Performance with Double Scattering Channels
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2016 (English)In: Proceedings of IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD) 2016, Institute of Electrical and Electronics Engineers (IEEE), 2016, 243-248 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates the spectral efficiency (SE)of multi-cell Massive Multi-Input Multi-Output (MIMO) usingdifferent channel models. Prior works have derived closed form SE bounds and approximations for Gaussian distributedchannels, while we consider the double scattering model—a primeexample of a non-Gaussian channel for which it is intractable toobtain closed form SE expressions. The channels are estimatedusing limited resources, which gives rise to pilot contamination,and the estimates are used for linear detection and to computethe SE numerically. Analytical and numerical examples are usedto describe the key behaviors of the double scattering models,which differ from conventional Massive MIMO models. Finally,we provide multi-cell simulation results that compare the doublescattering model with uncorrelated Rayleigh fading and explainunder what conditions we can expect to achieve similar SEs.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 243-248 p.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-132324DOI: 10.1109/CAMAD.2016.7790363ISI: 000391562900043ISBN: 978-1-5090-2558-9 (print)OAI: oai:DiVA.org:liu-132324DiVA: diva2:1043775
Conference
IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD),Toronto, ON, Canada, 23-25 October 2016
Funder
EU, Horizon 2020, 641985ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2017-02-15Bibliographically approved

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