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Pilot Power Control and Assignment Games in MU-MIMO Systems
KTH, School of Electrical Engineering and Computer Science (EECS).
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In this work, we consider a MU-MIMO communication system forboth single cell and multi-cell cases. Other than the fundamental Rayleighchannel model which has been analysed intensively in previous works,we also adopt the Rician channel to model different types of wirelesslinks. Then we study the impact of data and pilot power on the systemperformance in a single cell for both channel models. The simulationresults show that the characteristics of these two channel models aresimilar. Therefore, we modify an existing power allocation algorithmand implement it. The characteristics of a small scale multi-cell systemare also investigated. In addition, based on the derived channel estimationerror formulations, a pilot sequence assignment game is proposed.The simulation results show that the algorithm can mitigatethe pilot contamination and has a fast converge speed.

Abstract [sv]

I detta arbete, anser vi en MU-MIMO kommunikationssystem för både enkla cell och multicellfall. Annat än det grundläggande Rayleigh ka- nalmodell som har analyserats intensivt i tidigare verk, vi också anta Rician kanal för att modellera olika typer av trådlösa länkar. Då stu- derar vi effekterna av data och pilotstyrka på systemet prestanda i en enda cell för båda kanalmodellerna. Simuleringen resultaten visar att egenskaperna hos dessa tvåkanalmodeller är liknande. Därför ändrar vi en befintlig algoritm för algoritmer och implementera det. Egen- skaperna hos ett småskaligt multicellsystem undersöks också. Dess- utom baseras på den härledda kanaluppskattningen felformuleringar, ett pilot-sekvensuppdragsspel föreslås. Simuleringsresultaten visar att algoritmen kan mildra pilotföroreningen och har en snabb konvergeringshastighet.

Place, publisher, year, edition, pages
2018. , p. 55
Series
TRITA-EECS-EX ; 2018:479
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-240353OAI: oai:DiVA.org:kth-240353DiVA, id: diva2:1271343
Educational program
Master of Science - Aerospace Engineering
Supervisors
Examiners
Available from: 2018-12-17 Created: 2018-12-17 Last updated: 2022-09-06Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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