Change search
ReferencesLink to record
Permanent link

Direct link
Channel Estimation Error Model for SRS in LTE
KTH, School of Electrical Engineering (EES), Signal Processing.
2011 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In 3GPP long term evolution (LTE), sounding is used to gain a wideband estimate of the uplink channel. This channel estimate may then be used for several radio resource management related applications such as frequency selective scheduling and beam forming. Code division multiplexing (CDM) enables several users to broadcast sounding reference signals (SRS) simultaneously on the same time and frequency resource. As the multiplexed users may interfere with one another there is a trade-off between having users broadcast SRS as often as possible to get a frequent channel estimate and getting higher quality estimates with a lower periodicity. To assess this trade-off one must have a good understanding of what causes the errors in the channel estimate so that the sounding resource may be used as efficiently as possible. This thesis proposes a method to model the channel estimation error with sounding for use in a system simulator environment. The method consists of estimating a standard deviation with a per-resource-block resolution of the channel estimates as a function of received signal powers of interfering users as well as the target user and background noise. This estimated estimation error may then, in the system simulator, be applied to a known ideal channel estimate as noise. The main limiting source of error is shown to beinterference, both from sounding users in the same cell and in others as well as some effects of limited frequency resolution. Simulation results indicate that a cleverly designed sounding resource handler is needed to fully utilize the possible gains of sounding.

Place, publisher, year, edition, pages
2011. , 60 p.
EES Examensarbete / Master Thesis, XR-EE-SB 2011:006
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-53769OAI: diva2:470901
Subject / course
Signal Processing
Educational program
Master of Science in Engineering - Electrical Engineering
Available from: 2012-01-19 Created: 2011-12-30 Last updated: 2012-03-14Bibliographically approved

Open Access in DiVA

fulltext(935 kB)1462 downloads
File information
File name FULLTEXT01.pdfFile size 935 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Signal Processing
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 1462 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 584 hits
ReferencesLink to record
Permanent link

Direct link