Scedasticity descriptor of terrestrial wireless communications channels for multipath clustering datasets

Citation Author(s):
Jojo
Blanza
Emmanuel
Trinidad
Lawrence
Materum
Submitted by:
Jojo Blanza
Last updated:
Sun, 05/26/2024 - 22:18
DOI:
10.21227/4khe-gx08
Data Format:
License:
0
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Abstract 

Fifth-generation (5G) wireless systems increased the bandwidth, improved the speed, and shortened the latency of communications systems. Various channel models are developed to study 5G. These channel models reproduce the stochastic properties of multiple-input multiple-output (MIMO) antennas by generating wireless multipath components (MPCs). The MPCs that have similar properties in delay, angles of departure, and angles of arrival form clusters. The multipaths and multipath clusters serve as datasets and are clustered to understand the properties of 5G. These datasets generated by the COST 2100, IMT-2020, QuaDRiGa, and WINNER II channel models are tested for their homoscedasticity based on Johansen's procedure. Results show that the COST 2100, QuaDRiGa, and WINNER II datasets are heteroscedastic, while the IMT-2020 dataset is homoscedastic.

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Comments

Dear IEEE DataPort Team,

I hope this message finds you well.

My name is Mohammed Ahmed AbdulNabi, and I am a Ph.D. student in Department of Communication Engineering , Engineering Technical College / Najaf , Al-Furat Al- Awsat Technical University, Najaf, Iraq

at [Your University or Institution]. I am writing to request your assistance in obtaining the dataset titled "Scedasticity descriptor of terrestrial wireless communications channels for multipath clustering datasets," authored by Jojo Blanza, Emmanuel Trinidad, and Lawrence Materum.

This dataset is crucial for my research on [a brief description of your research topic and how this dataset will help]. Understanding and clustering multipath channels is a vital part of my work, and this dataset will significantly aid in conducting accurate analyses and developing reliable models.

Here are the details of the dataset:

Title: Scedasticity descriptor of terrestrial wireless communications channels for multipath clustering datasets
Authors: Jojo Blanza, Emmanuel Trinidad, Lawrence Materum
DOI: 10.21227/4khe-gx08
Format: *.xlsx
License: Creative Commons Attribution
Keywords: Data Preprocessing, Channel Models, Multipath Channels, Radiowave Propagation
I would be immensely grateful if you could provide access to this dataset or guide me on how to obtain it.

Thank you very much for your time and assistance.

Sincerely ,Mohammed Ahmed AbdulNabi

Submitted by Mohammed Ahmed ... on Fri, 06/28/2024 - 11:34