Victoria University

Optimising the Massive MIMO Downlink in the Presence of Power Amplifier Nonlinearities

ResearchArchive/Manakin Repository

Show simple item record

dc.contributor.advisor Dmochowski, Pawel
dc.contributor.author Humphrey, Peter
dc.date.accessioned 2020-09-21T02:00:03Z
dc.date.available 2020-09-21T02:00:03Z
dc.date.copyright 2020
dc.date.issued 2020
dc.identifier.uri http://researcharchive.vuw.ac.nz/handle/10063/9194
dc.description.abstract Massive MIMO is known for its high level of spectral efficiency in multipath rich environments. We present a detailed Massive MIMO cell system using maximum-ratio transmission (MRT) and zero-forcing (ZF) where energy efficiency is taken into account. This is done through the use of a realistic model of moderate performance and hence moderate cost power amplifiers (PAs) for the base station downlink, which could be applied in a practical Massive MIMO system. In the process of detailing the linear aspects of the Massive MIMO system, results for the normalisation factor and array gain are derived, which as far as the author is aware are original. These results are used to derive an expression to optimise the downlink signal-to-interference-and-noise-ratio (SINR) in a linear system, which is also original as far as the author is aware. A process is outlined to optimise the downlink SINR when nonlinear PAs are used and a simulation of a cell system is performed where the benefits of applying the nonlinear optimisation process are demonstrated. en_NZ
dc.language.iso en_NZ
dc.publisher Victoria University of Wellington en_NZ
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/nz/
dc.subject Precoding Normalisation en_NZ
dc.subject Imperfect CSI en_NZ
dc.subject MRT, ZF en_NZ
dc.subject Power Amplifier Nonlinearity en_NZ
dc.subject Downlink Optimisation en_NZ
dc.subject Massive MIMO en_NZ
dc.title Optimising the Massive MIMO Downlink in the Presence of Power Amplifier Nonlinearities en_NZ
dc.type Text en_NZ
vuwschema.contributor.unit School of Engineering and Computer Science en_NZ
vuwschema.type.vuw Awarded Research Masters Thesis en_NZ
thesis.degree.discipline Electronic and Computer System Engineering en_NZ
thesis.degree.grantor Victoria University of Wellington en_NZ
thesis.degree.level Masters en_NZ
thesis.degree.name Master of Science en_NZ
dc.rights.license Creative Commons GNU GPL en_NZ
dc.date.updated 2020-09-18T00:56:31Z
vuwschema.subject.anzsrcfor 090609 Signal Processing en_NZ
vuwschema.subject.anzsrcseo 890103 Mobile Data Networks and Services en_NZ
vuwschema.subject.anzsrctoa 3 APPLIED RESEARCH en_NZ


Files in this item

This item appears in the following Collection(s)

Show simple item record

http://creativecommons.org/licenses/by-nc-nd/3.0/nz/ Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/3.0/nz/

Search ResearchArchive


Advanced Search

Browse

My Account

Statistics