Enhancing beamforming performance in 6G-V2X base stations using meta-deep reinforcement Q-learning
- DOI
- 10.1016/j.iot.2025.101825
- Published
- 2026-01
- Container
- Internet of Things
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.iot.2025.101825,
title = {Enhancing beamforming performance in 6G-V2X base stations using meta-deep reinforcement Q-learning},
author = {Ali Belgacem and Abbas Bradai},
year = {2026},
journal = {Internet of Things},
doi = {10.1016/j.iot.2025.101825},
url = {https://doi.org/10.1016/j.iot.2025.101825}
}RIS
TY - JOUR TI - Enhancing beamforming performance in 6G-V2X base stations using meta-deep reinforcement Q-learning AU - Ali Belgacem AU - Abbas Bradai PY - 2026 JO - Internet of Things DO - 10.1016/j.iot.2025.101825 UR - https://doi.org/10.1016/j.iot.2025.101825 ER -
APA
Belgacem, A., & Bradai, A. (2026). Enhancing beamforming performance in 6G-V2X base stations using meta-deep reinforcement Q-learning. Internet of Things. https://doi.org/10.1016/j.iot.2025.101825
Source records
- crossref · retrieved 2026-09-25T10:08:26.322Z