2008 14th European Wireless Conference 2008
DOI: 10.1109/ew.2008.4623927
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3G HSDPA evolution: MIMO and 64QAM performance in macrocellular deployments

Abstract: This paper provides an overview of the methodology used in the performance assessment of the 64QAM and MIMO HSDPA features in a macro-cellular environment. The paper describes how the geometry experienced by end users could be measured in a live HSPA network, and how this could be used together with link level simulations to perform a first assessment of performance expectation of both MIMO and 64QAM.

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Cited by 5 publications
(3 citation statements)
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“…5. Measurements from real network deployments do not show this behavior [7]. Instead, the users at -3 dB geometry are usually found at the site borders.…”
Section: Antenna Diagram and Geometrymentioning
confidence: 95%
“…5. Measurements from real network deployments do not show this behavior [7]. Instead, the users at -3 dB geometry are usually found at the site borders.…”
Section: Antenna Diagram and Geometrymentioning
confidence: 95%
“…Hence good knowledge of the geometry factor provides useful information of the system potential even if the current load is low. Furthermore by excluding the noise term, a measure that is independent of access and bandwidth is obtained, which differ from the commonly used measurement for WCDMA [1]. Therefore the geometry factor measure obtained for GSM is also applicable on the dynamically scheduled bandwidth in LTE.…”
Section: IImentioning
confidence: 98%
“…These measurements predict the cell isolation in an LTE network with similar cell layout. Geometry factor distributions can be obtained through system measurements of live traffic [1] [2], which have the advantage of providing realistic user distributions. UE based drive-test geometry factor measurements can alternatively be performed with known user positions, e.g.…”
mentioning
confidence: 99%