A 3D MIMO array built from miniaturized dipoles with re-tuned lower elements achieves higher degrees of freedom and about 16% more capacity than a planar array of the same aperture.
Cloud Network Slicing: A systematic mapping study from scientific publications
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Cloud Network Slicing is a new research area that brings together cloud computing and network slicing in an end-to-end environment. In this context, understanding the existing scientific contributions and gaps is crucial to driving new research in this field. This article presents a complete quantitative analysis of scientific publications on the Cloud Network Slicing, based on a systematic mapping study. The results indicate the situation of the last ten years in the research area, presenting data such as industry involvement, most cited articles, most active researchers, publications over the years, main places of publication, as well as well-developed areas and gaps. Future guidelines for scientific research are also discussed.
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physics.app-ph 1years
2025 1verdicts
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Capacity Enhancement Analysis and Implementation of a 3D Array Based on Miniaturized Dipole Antennas
A 3D MIMO array built from miniaturized dipoles with re-tuned lower elements achieves higher degrees of freedom and about 16% more capacity than a planar array of the same aperture.