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On the Impact of Antenna Correlation on the Pilot-Data Balance in Multiple Antenna Systems
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems. KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0002-2289-3159
KTH, School of Electrical Engineering (EES), Automatic Control.
2014 (English)Report (Other academic)
Abstract [en]

We consider the uplink of a single cell single input multiple output (SIMO) system, in which the mobile stations use intra-cell orthogonal pilots to facilitate uplink channel estimation. In such systems, the problem of pilot-data transmission power balancing is known to have a large impact on the performance on the achievable uplink data rates. In this paper we derive a closed form expression for the mean square error (MSE) as a function of the pilot and data power levels under a per-user sum pilot-data power constraint. Our major contribution is the derivation of the MSE formula for Gaussian channels under arbitrary channel covariance matrices. For example, our model readily allows to study the MSE as a function of the number of antennas and antenna correlation structures, including the popular spatial channel model (SCM). Numerical results suggest that the impact of antenna spacing on the MSE is limited, but the angle of arrival (AoA) and angular spread have a more articulated impact on the MSE performance. We also find that as the number of antennas at the base station grows large, a higher percentage of the power budget should be allocated to pilot signals than with a low number of antennas.

 

Place, publisher, year, edition, pages
2014. , 8 p.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-143530OAI: oai:DiVA.org:kth-143530DiVA: diva2:706971
Funder
Swedish Foundation for Strategic Research , Matthew
Note

QC 20140331

Available from: 2014-03-24 Created: 2014-03-24 Last updated: 2014-03-31Bibliographically approved

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Fodor, Gabor

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CiteExportLink to record
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  • apa
  • harvard1
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