@article{M9726A470,
title = "Location-Based mmWave Beam Selection via Omnidirectional Signal",
journal = "The Journal of Korean Institute of Communications and Information Sciences",
year = "2024",
issn = "1226-4717",
doi = "10.7840/kics.2024.49.7.954",
author = "Jihwan Lee, Saewoong Bahk",
keywords = "Millimeter wave, deep learning, analog beamforming",
abstract = "In this letter, we propose a location-based analog beamforming to increase data rates of millimeter-wave communication. To compensate for the shortcomings of location-based beam selection, we confirm the presence of blockages from measured channels utilizing deep learning techniques.
Omnidirectional signals are used to minimize channel measurement overhead. Simulation results show that the proposed method improves efficient rates by 10.1% on average. Especially, in the bottom 10% data rate situation, the proposed method increases the effective rate by 54.5%."
}