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Electronics Letters
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Minimal mean‐square error for 3D MIMO beamforming weighting

Authors: Xu, C.; Cosmas, John; Zhang, Yue;

Minimal mean‐square error for 3D MIMO beamforming weighting

Abstract

The 3D MIMO beamforming system needs a weighting method to determine the direction of beam whist reducing the interference for other beam areas operating at the same carrier frequency. The challenge is to determine the weights of the 3D MIMO beams to direct each beam towards its cluster of user terminals while placing its nulls at undesired user directions to minimise undesired interference. Therefore, the signal‐to‐interference‐plus‐noise ratio should be increased while the interference from the side lobes of the other beams reduced. A weight determining method is presented that constructs horizontal and vertical array weights, respectively, by minimising the mean‐square error between the array pattern vector and the unit vector, where the unit vector expresses the desired direction for the array pattern and zero vector expresses the undesired direction. Since the rectangular planar array can be viewed as M linear arrays of N elements, the weight of the M – N th element can be obtained based on the horizontal and vertical array weights.

Country
United Kingdom
Related Organizations
Keywords

Weighting method, interference suppression, radiofrequency interference, 600, beamforming, 620, 5G mobile communication, MIMO beamforming system, mean square error methods, MIMO communication, signal to interference plus noise ratio, massive multi-input multioutput, array signal processing

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
Green
gold