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:
Sun, 04/18/2021 - 04:19
DOI:
10.21227/7vkq-9164
License:
Creative Commons Attribution
257 Views
Categories:
Artificial Intelligence
Communications
Keywords:
millimeter wave, Multi Armed Bandits, UCB
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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

Dataset Files

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