Dataset Title: LEO Satellite Channel

Dataset Description: Channel coefficients of multiple users connected to a LEO satellite equipped with massive MIMO antenna.

This dataset has been used in this work (please cite this reference in your work if you make use of this dataset):

• Madyan Alsenwi, Eva Lagunas, Hayder AL-Harishawi and Symeon Chatzinotas. “CVaR-based Robust Beamforming Framework for Massive MIMO LEO Satellite Communications“, IEEE Global Communications Conference (IEEE GlobeCom), 2023.

Channel Model Description:

We use the multi-path channel model to generate synthetic channel coefficients. The details on the channel modeling can be found in the reference above.

The file “channel_data” contains the a row for each considered on-ground user, containing the user ID, its position in (lat,lon) and the corresponding channel vector.

Parameters Setting:

The obtained channel values are conducted under the following configuration:

• The LEO satellite is located at a longitude of 11.5 degrees, latitude of 51.5 degrees, and at an altitude of  1000 km above the Earth surface.

• Users are generated randomly following uniform distribution.

• Number of UPA antenna elements is 20 x 20 = 400.

• Number of ground users is 1000.

Figures 1 and 2 show the considered network model and generated simulation environment using Python.

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