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Pilot precoding and combining in multiuser MIMO networks
KTH, School of Electrical Engineering (EES), Information Science and Engineering.ORCID iD: 0000-0002-5526-9213
KTH, School of Electrical Engineering (EES), Network and Systems engineering.ORCID iD: 0000-0001-6737-0266
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0002-2289-3159
KTH, School of Electrical Engineering (EES), Information Science and Engineering.ORCID iD: 0000-0002-3599-5584
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2017 (English)In: 2017 IEEE International Conference on Acoustics Speech and Signal Processing ICASSP (ICASSP), Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 3544-3548Conference paper (Refereed)
Abstract [en]

Although the benefits of precoding and combining of data streams are widely recognized, the potential of precoding the pilot signals at the user equipment (UE) side and combining them at the base station (BS) side has not received adequate attention. This paper considers a multiuser multiple input multiple output (MU-MIMO) cellular system in which the BS acquires channel state information (CSI) by means of uplink pilot signals and proposes pilot precoding and combining to improve the CSI quality. We first evaluate the channel estimation performance of a baseline scenario in which CSI is acquired with no pilot precoding. Next, we characterize the channel estimation error when the pilot signals are precoded by spatial filters that asymptotically maximize the channel estimation quality. Finally, we study the case when, in addition to pilot precoding at the UE side, the BS utilizes the second order statistics of the channels to further improve the channel estimation performance. The analytical and numerical results show that, specially in scenarios with large number of antennas at the BS and UEs, pilot precoding and combining has a great potential to improve the channel estimation quality in MU-MIMO systems.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 3544-3548
Series
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keywords [en]
multiuser MIMO, channel estimation, minimum mean squared error, transceiver design
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-221043DOI: 10.1109/ICASSP.2017.7952816ISI: 000414286203142Scopus ID: 2-s2.0-85023764713ISBN: 978-1-5090-4117-6 OAI: oai:DiVA.org:kth-221043DiVA, id: diva2:1173297
Conference
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), MAR 05-09, 2017, New Orleans, LA
Note

QC 20180112

Available from: 2018-01-12 Created: 2018-01-12 Last updated: 2018-01-12Bibliographically approved

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Moghadam, Nima N.Shokri-Ghadikolaei, HosseinFodor, GaborBengtsson, MatsFischione, Carlo

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Moghadam, Nima N.Shokri-Ghadikolaei, HosseinFodor, GaborBengtsson, MatsFischione, Carlo
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Citation style
  • apa
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  • modern-language-association-8th-edition
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