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Modelling angle spread autocorrelations and the impact on multi-user diversity gains
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2298-6774
2010 (English)In: IEEE Wireless Communications and Networking Conference, 2010, Vol. WCNC, 1-6 p.Conference paper, Published paper (Refereed)
Abstract [en]

One way of modelling the wireless channel is in a statistical manner, based on a few parameters describing the characteristics of the environment. In most current wireless channel models, these key parameters are assumed independent between separate links, i.e. on the channels modelling the propagation between one base station and several mobile stations, or one mobile station and several base stations. In practice, dependencies between these wireless channels is expected and as a consequence, system performance evaluations based on models with independent links may be inaccurate. Herein, we consider simulations of a system that depend on the spatial nature of the channel. In particular, we study a system with multi-user scheduling using a single carrier. We investigate the impact of angle spread correlations on multi-user diversity gains using opportunistic scheduling. To facilitate this, a novel method of modelling the angle spread correlations for multi-user system simulations is developed. It is shown that in systems with multiple user scheduling, modelling the angle spread autocorrelation is necessary to obtain reliable system performance results, especially as the number of simultaneous scheduled users increases.

Place, publisher, year, edition, pages
2010. Vol. WCNC, 1-6 p.
Keyword [en]
Angle spread, Key parameters, Mobile station, Multiple user, Multiuser diversity, Multiuser scheduling, Multiuser system, Novel methods, Opportunistic scheduling, Reliable systems, Single carrier, System performance evaluation, Wireless channel, Wireless channel model, Autocorrelation, Base stations, Channel capacity, Scheduling, Telecommunication links, Wireless telecommunication systems, Wireless networks
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-35643DOI: 10.1109/WCNC.2010.5506645ISI: 000299203102123Scopus ID: 2-s2.0-77955031755OAI: oai:DiVA.org:kth-35643DiVA: diva2:429581
Conference
IEEE Wireless Communications and Networking Conference 2010, WCNC 2010; Sydney
Note

QC 20110705

Available from: 2011-07-05 Created: 2011-07-04 Last updated: 2012-09-05Bibliographically approved

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Ottersten, Björn

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