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Geometry-Based Clus...
Geometry-Based Clustering Characteristics for Outdoor Measurements at 28-30 GHz
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- Zhang, Guojin (författare)
- Aalborg University
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- Nielsen, Jesper Odum (författare)
- Aalborg University
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- Cai, Xuesong (författare)
- Lund University,Lunds universitet,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,Communications Engineering,Lund University Research Groups
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- Pedersen, Gert Frolund (författare)
- Aalborg University
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- Fan, Wei (författare)
- Aalborg University
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(creator_code:org_t)
- 2022
- 2022
- Engelska.
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Ingår i: IEEE Antennas and Wireless Propagation Letters. - 1548-5757. ; 21:9, s. 1797-1801
- Relaterad länk:
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https://portal.resea... (primary) (free)
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This paper presents an analysis of channel characteristics for an outdoor scenario at the frequency band of 28-30 GHz. A geometry-based clustering algorithm is proposed to group the measured multipath components (MPCs) based on the interaction points on the surrounding walls or objects obtained from Ray Tracing 3-D simulations, which is more physically interpretable than the traditional clustering algorithm. The cluster-level characteristics at a total of 15 positions along a pre-defined route covering both line-of-sight (LoS) and non-LoS (NLoS) scenarios are investigated. Moreover, power contributions of MPCs with multiple bounces (up to 7 bounces in NLoS condition) from the interaction objects (IOs) are also investigated.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
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- ref (ämneskategori)
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