Machine Learning based Beamwidth Adaptation for mmWave Vehicular Communications

Setinder Manic, Chuan Heng Foh, Abdulkadir Kose, Haeyoung Lee, Chee Yen Leow, Klaus Moessner, Chakkaphong Suthaputchakun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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The incorporation of mmWave technology in vehicular networks has unlocked a realm of possibilities, propelling the advancement of autonomous vehicles,enhancing interconnectedness, and facilitating communication for intelligent transportation systems (ITS). Despite these strides in connectivity, challenges such as high path-loss have arisen, impacting existing beam management procedures. This work aims to address this issue by improving beam management techniques, specifically focusing on enhancing the service time between vehicles and base stations through adaptive mmWave beamwidth adjustments, accomplished using a Contextual Multi-Armed Bandit Algorithm. By leveraging various conditions to train the ML agent of the Contextual Multi-Armed Bandit Algorithm, it seeks to learn about vehicle mobility profiles and optimize the usage of differentantenna beamwidth settings to maximize seamless connection time. The extensive simulation results showcase the effectiveness of an adaptive beamwidth for mobility profiles, extending the connection time a vehicle experiences with a base station when compared to the existing strategies.
Original languageEnglish
Title of host publication2023 IEEE 16th Malaysia International Conference on Communication (MICC)
Subtitle of host publicationSmart Digital Communication for Humanity
Place of PublicationKuala Lumpur, Malaysia
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)979-8-3503-0434-3
Publication statusPublished - 12 Feb 2024
Event16th IEEE Malaysia International Conference on Communications 2023 (MICC 2023) - Concorde Hotel Kuala Lumpur, Lumpur, Malaysia
Duration: 10 Dec 202312 Dec 2023
Conference number: 16

Publication series

NameInternational Conference on Communication (MICC)
ISSN (Print)2694-5282


Conference16th IEEE Malaysia International Conference on Communications 2023 (MICC 2023)
Abbreviated titleMICC2023
Internet address


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