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MAB Algorithms for Single and Concurrent Millimeter Wave Indoor Beamforming Training

Citation Author(s):
Ehab Mahmoud Mohamed (Prince Sattam Bin Abdulaziz University )
Sherief Hashima (RIKEN-AIP computational learning theory team)
Basem M. ElHalawany (Benha University)
Kohei Hatano (RIKEN-AIP computational learning theory team)
Kaishun Wu (Shen-zhen University,)
Submitted by:
Ehab Mohamed
Last updated:
DOI:
10.21227/7vkq-9164
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Abstract

 

This file contains the MAB algorithms for millimeter wave (mmWave) beamforming training (BT) in Indoor environment for both single beam and concurrent beams scenarios. The algorithms were developed using MATLAB software and they are making use of the following data set

 

 

“E.    M.    Mohamed,    k.    Sakaguchi,    and    S.    Sampei, “Millimeter wave   indoor   channel   dataset,”  2021.   [Online].   Available:   https://dx.doi.org/10.21227/ehb1-9j69”

 

 

 

 

 

 

Instructions:

For any inquiry about the programs, please contact the first author at this email ehab_mahmoud@aswu.edu.eg