Clustering results of estimated MIMO double-directional channel data of a small macrocell
Using an optimized clustering approach, results of the determination of the clustering of multipaths in a wireless channel are presented. The data used were from the results of estimating the double-directional parameters of a MIMO channel sounding done in a small urban macrocell. Observations of th...
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oai:animorepository.dlsu.edu.ph:faculty_research-90482023-02-22T05:18:56Z Clustering results of estimated MIMO double-directional channel data of a small macrocell Materum, Lawrence Y. Takada, Jun-ichi Ida, Ichirou Oishi, Yasuyuki Using an optimized clustering approach, results of the determination of the clustering of multipaths in a wireless channel are presented. The data used were from the results of estimating the double-directional parameters of a MIMO channel sounding done in a small urban macrocell. Observations of the clustering results show that the distribution of cluster power proportion should also be taken into account when modeling clusters as unnecessary exclusion of least clusters may not represent the characteristics of clusters in the channel. 2008-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/8401 Faculty Research Work Animo Repository Wireless communication systems MIMO systems Systems and Communications |
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Wireless communication systems MIMO systems Systems and Communications |
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Wireless communication systems MIMO systems Systems and Communications Materum, Lawrence Y. Takada, Jun-ichi Ida, Ichirou Oishi, Yasuyuki Clustering results of estimated MIMO double-directional channel data of a small macrocell |
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Using an optimized clustering approach, results of the determination of the clustering of multipaths in a wireless channel are presented. The data used were from the results of estimating the double-directional parameters of a MIMO channel sounding done in a small urban macrocell. Observations of the clustering results show that the distribution of cluster power proportion should also be taken into account when modeling clusters as unnecessary exclusion of least clusters may not represent the characteristics of clusters in the channel. |
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Materum, Lawrence Y. Takada, Jun-ichi Ida, Ichirou Oishi, Yasuyuki |
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Materum, Lawrence Y. Takada, Jun-ichi Ida, Ichirou Oishi, Yasuyuki |
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Materum, Lawrence Y. |
title |
Clustering results of estimated MIMO double-directional channel data of a small macrocell |
title_short |
Clustering results of estimated MIMO double-directional channel data of a small macrocell |
title_full |
Clustering results of estimated MIMO double-directional channel data of a small macrocell |
title_fullStr |
Clustering results of estimated MIMO double-directional channel data of a small macrocell |
title_full_unstemmed |
Clustering results of estimated MIMO double-directional channel data of a small macrocell |
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clustering results of estimated mimo double-directional channel data of a small macrocell |
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Animo Repository |
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2008 |
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https://animorepository.dlsu.edu.ph/faculty_research/8401 |
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