Multi-head deep Q-learning for continuous beamforming with selective MC-CDMA operation in V2X highway communications

Multi-head deep Q-learning for continuous beamforming with selective MC-CDMA operation in V2X highway communications

Abstract This study investigates a large-scale dynamic Vehicle-to-Everything (V2X) communication network, in which multiple Roadside Units (RSUs) are deployed along highways to enable high-speed vehicular links. To ensure robust and adaptive performance under fast-varying conditions, we propose an i...

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Bibliographic Details
Main Authors: Nguyen Huu Trung, Nguyen Thuy Anh, Fuqiang Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
6G
V2X
MC-CDMA
Continuous beamforming
Multi-Head deep Q-Learning
Online Access:https://doi.org/10.1038/s41598-025-16016-2
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https://doi.org/10.1038/s41598-025-16016-2

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