Wi-Fi Assisted Contextual Multi-Armed Bandit for Neighbor Discovery and Selection in Millimeter Wave Device to Device Communications

Wi-Fi Assisted Contextual Multi-Armed Bandit for Neighbor Discovery and Selection in Millimeter Wave Device to Device Communications

The unique features of millimeter waves (mmWaves) motivate its leveraging to future, beyond-fifth-generation/sixth-generation (B5G/6G)-based device-to-device (D2D) communications. However, the neighborhood discovery and selection (NDS) problem still needs intelligent solutions due to the trade-off o...

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Bibliographic Details
Main Authors: Sherief Hashima, Kohei Hatano, Hany Kasban, Ehab Mahmoud Mohamed
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
millimeter-wave
machine learning
multi-armed bandit (MAB)
contextual MAB
NDS
EA-LinUCB
Online Access:https://www.mdpi.com/1424-8220/21/8/2835

Internet

https://www.mdpi.com/1424-8220/21/8/2835

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