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Random Cluster Numb...
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Wang, ChaoBeijing University of Posts and Telecommunications
(author)
Random Cluster Number Feature and Cluster Characteristics of Indoor Measurement at 28 GHz
- Article/chapterEnglish2018
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LIBRIS-ID:oai:lup.lub.lu.se:e1e5a027-d1fd-4377-ad9d-a8cce7e0cce5
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https://lup.lub.lu.se/record/e1e5a027-d1fd-4377-ad9d-a8cce7e0cce5URI
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https://doi.org/10.1109/LAWP.2018.2868808DOI
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Language:English
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Summary in:English
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Subject category:art swepub-publicationtype
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Subject category:ref swepub-contenttype
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In this letter, we analyze cluster characteristics in mm wave channel characteristics, based on an indoor channel measurement campaign at 28 GHz. The spatial characteristics of clusters are analyzed, and we investigate the CDFs of the intra cluster angular spreads and the number of clusters. Also we introduce the Random Cluster Number (RCN) feature to the primary module of IMT-2020 channel model, which is based on Poisson distribution to simulate the evolution of clusters above 6 GHz to get more close to real channel conditions. In addition, an example of the singular values of channel simulations with and without the RCN feature are given. From the comparisons, we can see the benefits of using the RCN feature in simulations with the IMT-2020 model.
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Zhang, JianhuaBeijing University of Posts and Telecommunications
(author)
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Tufvesson, FredrikLund University,Lunds universitet,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,Communications Engineering,Lund University Research Groups(Swepub:lu)es-ftu
(author)
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Beijing University of Posts and TelecommunicationsKommunikationsteknologi
(creator_code:org_t)
Related titles
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In:IEEE Antennas and Wireless Propagation Letters17:10, s. 1881-18841536-1225
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