Zhang G, Nielsen JO, Cai X, Pedersen GF, Fan W (2022)
Publication Status: Published
Publication Type: Journal article, Original article
Publication year: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 21
Pages Range: 1797-1801
Journal Issue: 9
DOI: 10.1109/LAWP.2022.3180179
Open Access Link: https://ieeexplore.ieee.org/document/9789262
This letter 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) from the interaction points on the surrounding walls or objects according to ray-tracing three-dimensional (3-D) simulations, giving results that are more physically interpretable than the traditional clustering algorithms. The cluster-level characteristics at 15 positions along a predefined route covering both line-of-sight (LoS) and non-LoS (NLoS) scenarios are investigated. Moreover, power contributions of MPCs with multiple bounces (up to seven bounces in NLoS scenario) from the interaction objects are also investigated.
APA:
Zhang, G., Nielsen, J.O., Cai, X., Pedersen, G.F., & Fan, W. (2022). Geometry-Based Clustering Characteristics for Outdoor Measurements at 28-30 GHz. IEEE Antennas and Wireless Propagation Letters, 21(9), 1797-1801. https://dx.doi.org/10.1109/LAWP.2022.3180179
MLA:
Zhang, Guojin, et al. "Geometry-Based Clustering Characteristics for Outdoor Measurements at 28-30 GHz." IEEE Antennas and Wireless Propagation Letters 21.9 (2022): 1797-1801.
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