Spatial Array Processing in a 3D Multiuser Network

Johanna Ketonen; Xiaojia Lu; Markku Juntti

1st International Conference on 5G for Ubiquitous Connectivity

Research Article

Spatial Array Processing in a 3D Multiuser Network

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@INPROCEEDINGS{10.4108/icst.5gu.2014.258125,
    author={Johanna Ketonen and Xiaojia Lu and Markku Juntti},
    title={Spatial Array Processing in a 3D Multiuser Network},
    proceedings={1st International Conference on 5G for Ubiquitous Connectivity},
    publisher={IEEE},
    proceedings_a={5GU},
    year={2014},
    month={12},
    keywords={3d channels beamforming ula upa},
    doi={10.4108/icst.5gu.2014.258125}
}

Johanna Ketonen
Xiaojia Lu
Markku Juntti
Year: 2014
Spatial Array Processing in a 3D Multiuser Network
5GU
IEEE
DOI: 10.4108/icst.5gu.2014.258125

Johanna Ketonen¹^,*, Xiaojia Lu², Markku Juntti¹

1: University of Oulu
2: -

*Contact email: johannak@ee.oulu.fi

Abstract

The performances of spatial array processing algorithms along with three-dimensional (3D) antenna arrays are studied in this paper. Optimal linear beamforming is compared to codebook based processing. The elevation domain is further utilized when applying separate weighting vectors for the azimuth and elevation dimensions. The theoretical capacities of the beamforming systems with different antenna arrays are compared. Simulations are performed with the latest 3D channel models in a multiuser network. The best performance is obtained with the horizontal uniform linear arrays (ULA) when optimal beamforming is used. However, the performances of ULA and uniform planar array (UPA) are similar when codebook based beamforming is employed.

Keywords: 3d channels beamforming ula upa

Published: 2014-12-18
Publisher: IEEE

: http://dx.doi.org/10.4108/icst.5gu.2014.258125