Estimation and characterization of multipath clusters in urban scenarios
Schneider C, Gedschold J, Käske M, Thomä RS, Galdo GD (2018)
Publication Type: Conference contribution
Publication year: 2018
Publisher: Institution of Engineering and Technology
Book Volume: 2018
Conference Proceedings Title: IET Conference Publications
Event location: London, GBR
Abstract
Multipath clustering is an essential concept for the most well-known geometry based (stochastic) channel models as from 3GPP, COST and WINNER. They assume that multipath components arrive/depart in clusters with similar properties within the considered parameter domains. Therefore, reliable and accurate clustering results are essential. Within this contribution a new approach to initialize a K-Means clustering algorithm for widely automated data processing is proposed. The influence of different processing parameters on the clustering result is discussed and multipath cluster statistics from two urban macro cell environments are summarizing this contribution.
Involved external institutions
Germany (DE)How to cite
APA:
Schneider, C., Gedschold, J., Käske, M., Thomä, R.S., & Galdo, G.D. (2018). Estimation and characterization of multipath clusters in urban scenarios. In IET Conference Publications. London, GBR: Institution of Engineering and Technology.
MLA:
Schneider, Christian, et al. "Estimation and characterization of multipath clusters in urban scenarios." Proceedings of the 12th European Conference on Antennas and Propagation, EuCAP 2018, London, GBR Institution of Engineering and Technology, 2018.
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