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Channel Prediction for Moving Relays
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
2013 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In mobile communications, channel side information at transmitters can increasecapacity. For moving relays nodes, local nodes placed on buses and trams in urbanareas, the channel state information is outdated for control delays of severalmilliseconds, as in the LTE system. Prediction of the channel based on statistic is notadequate for vehicular velocities. In this thesis, prediction made with an additionalantenna, a ``predictor antenna", placed in front of the main antenna is evaluated. Thepredictor utilises that the channel of the predictor antenna is highly correlated to thechannel experienced by the main antenna somewhat later, when the main antenna hasmoved to the position previous occupied by the predictor antenna. A normalisedcorrelation of up to 0.98 could be measured between the channels of the antennasfor an antenna separation of several wavelengths, but it was found that the closeenvironment and the antenna pattern have a big impact on the correlation. Thepredictions made with the antenna are also combined with predictions based onstatistics of past measurements from the main antenna to see if a better result can beachieved. For a prediction range of 0.5 carrier wavelengths, a prediction as good as anormalised mean square error (NMSE) of -13.9 dB could be seen. This is sufficient togive a gain in the performance when using link adaptation and opportunistic multi-userscheduling, based on channel state information at transmitter. The evaluations isbased on measurements on a 20 MHz downlink channel at 2.68 GHz.

Place, publisher, year, edition, pages
2013. , 48 p.
Series
UPTEC F, ISSN 1401-5757 ; 12 028
Keyword [en]
Channel prediction
National Category
Engineering and Technology Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-195259OAI: oai:DiVA.org:uu-195259DiVA: diva2:607338
Educational program
Master Programme in Engineering Physics
Uppsok
Technology
Supervisors
Examiners
Available from: 2013-02-22 Created: 2013-02-22 Last updated: 2013-02-22Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Output format
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