Millimeter Wave Indoor Channel Dataset

Citation Author(s):: Ehab
Mahmoud Mohamed
Prince Sattam Bin Abdulaziz University

Kei
Sakaguchi
Tokyo Institute of Technology

Seiichi
Sampei
Osaka University
Submitted by:: Ehab Mohamed
Last updated:: Tue, 05/17/2022 - 22:18
DOI:: 10.21227/ehb1-9j69
Data Format:: *.csv (zip); *.mat; *.h5; *.pkl
Research Article Link:: Leveraging Machine Learning for Millimeter Wave Beamforming in Beyond 5G Networks
License:: Creative Commons Attribution

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Categories:: Communications
Keywords:: mmWave, MAB, UCB

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Abstract

This dataset of 7200 channels is generated at different locations in the room area of 30x15x4 m3, where the locations are separated by 0.25m in both horizontal and vertical directions. Each AP uses 10 dBm TX power and 2D BF. In the concurrent mmWave BT scenario, all APs are operating, while in the single mmWave BT scenario, we consider a single AP fixed on the center of the room’s ceiling

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Submitted by ANKITA SHARMA on Thu, 09/30/2021 - 01:57

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mmWave Ray Tracing Dataset.zip (69.04 MB)

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