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Performance analysis of block and comb type channel estimation for massive MIMO systems
KTH, School of Electrical Engineering (EES), Automatic Control. Ericsson Research, Stockholm, Sweden.ORCID iD: 0000-0002-2289-3159
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2014 (English)In: Proceedings of the 2014 1st International Conference on 5G for Ubiquitous Connectivity, 5GU 2014, 2014, 62-69 p.Conference paper (Refereed)
Abstract [en]

For pilot sequence based multiple input multiple output (MIMO) channel estimation, the arrangements of pilot symbols, such as the block or comb type arrangement, is known to play an important role. In this paper we compare the performance of block and comb pilot symbol patterns in terms of uplink mean square error (MSE) and spectral efficiency when the receiver at the base station employs least square (LS) or minimum mean square error (MMSE) channel estimation and MMSE equalizer for uplink data reception. For this system, we derive a closed form solution for the MSE and spectral efficiency that allows us to obtain exact results for an arbitrary number of antennas. Our key observation is that the comb pilot arrangement allows for unequal pilot-data power allocation in the frequency domain, which leads to a significant spectral efficiency increase. This spectral efficiency increase is particularly important with LS estimation and as the number of base station antennas grows large. It also gives noticeable gains with MMSE estimation. Our main conclusion is that with a large number of antennas, unequal power allocation facilitated by comb arrangement can give large gains over alternative pilot arrangements.

Place, publisher, year, edition, pages
2014. 62-69 p.
Keyword [en]
Antennas, Base stations, Beamforming, Channel estimation, Efficiency, Frequency domain analysis, MIMO systems, Mobile telecommunication systems, Base station antennas, Closed form solutions, Frequency domains, Minimum mean square errors (MMSE), Multiple-input multiple-output channels, Performance analysis, Spectral efficiencies, Unequal power allocation, Mean square error
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-167938DOI: 10.4108/icst.5gu.2014.258076ScopusID: 2-s2.0-84924440866ISBN: 9781631900556OAI: diva2:817383
2014 1st International Conference on 5G for Ubiquitous Connectivity, 5GU 2014, 26 November 2014 through 27 November 2014

QC 20150605

Available from: 2015-06-05 Created: 2015-05-22 Last updated: 2015-06-05Bibliographically approved

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Fodor, GaborDi Marco, Piergiuseppe
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