Datasets for Multipath Clustering at 285 MHz and 5.3 GHz Bands Based on COST 2100 MIMO Channel Model

Citation Author(s):: Jojo Blanza (De La Salle University)

Antipas Jr. Teologo (De La Salle University)

Lawrence Materum (De La Salle University)
Submitted by:: Antipas Jr. Teologo
Last updated:: Mon, 01/20/2020 - 05:14
DOI:: 10.21227/4cb9-hf81
Data Format:: xlsx

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Categories:

Communications

Keywords:

Data Handling

Data Models

Data Preprocessing; Channel Models; Multipath Channels; Radiowave Propagation; Clustering Methods

CITE

Abstract

These datasets contain the whitened data of the COST2100 channel model and consist of eight XLSX files namely: Indo_BI_LOS_Sing_white, Indo_B2_LOS_Sing_white, SemiUr_B1_LOS_Mult_white, SemiUr_B1_LOS_Sing_white, SemiUr_B1_NLOS_Sing_white, SemiUr_B2_LOS_Mult_white, SemiUr_B2_LOS_Sing_white, and SemiUr_B2_NLOS_Sing_white. Each XLSX file consists of 30 sheets. All the sheets contain different number of rows but the same number of columns. The number of rows represents the number of multipaths and the nine columns represent the following: X_AOD_W (whitened x-component of the angle of departure), Y_AOD_W (whitened y-component of the angle of departure), Z_AOD_W (whitened z-component of the angle of departure), X_AOA_W (whitened x-component of the angle of arrival), Y_AOA_W (whitened y-component of the angle of arrival), Z_AOA_W (whitened z-component of the angle of arrival), delay_W (whitened delay), rel_pow (multipath's relative power), and refclusID (reference cluster ID).

Instructions:

These datasets are primarily intended for those who are working on wireless multipath clustering. These datasets can already be used as inputs for the different wireless multipath clustering algorithms. Any user of any of the datasets, please cite accordingly the paper below (DOI will follow).

J. F. Blanza, A. T. Teologo and L. Materum, "Datasets for Multipath Clustering at 285 MHz and 5.3 GHz Bands Based on COST 2100 MIMO Channel Model," 2019 International Symposium on Multimedia and Communication Technology (ISMAC), 2019, pp. 1-5.
doi: 10.1109/ISMAC.2019.8836143