How to Attack and Defend NextG Radio Access Network Slicing With Reinforcement Learning
- DOI
- 10.1109/ojvt.2022.3229229
- Published
- 2023
- Container
- IEEE Open Journal of Vehicular Technology
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/ojvt.2022.3229229,
title = {How to Attack and Defend NextG Radio Access Network Slicing With Reinforcement Learning},
author = {Yi Shi and Yalin E. Sagduyu and Tugba Erpek and M. Cenk Gursoy},
year = {2023},
journal = {IEEE Open Journal of Vehicular Technology},
doi = {10.1109/ojvt.2022.3229229},
url = {https://doi.org/10.1109/ojvt.2022.3229229}
}RIS
TY - JOUR TI - How to Attack and Defend NextG Radio Access Network Slicing With Reinforcement Learning AU - Yi Shi AU - Yalin E. Sagduyu AU - Tugba Erpek AU - M. Cenk Gursoy PY - 2023 JO - IEEE Open Journal of Vehicular Technology DO - 10.1109/ojvt.2022.3229229 UR - https://doi.org/10.1109/ojvt.2022.3229229 ER -
APA
Shi, Y., Sagduyu, Y. E., Erpek, T., & Gursoy, M. C. (2023). How to Attack and Defend NextG Radio Access Network Slicing With Reinforcement Learning. IEEE Open Journal of Vehicular Technology. https://doi.org/10.1109/ojvt.2022.3229229
Source records
- crossref · retrieved 2026-09-25T04:58:18.117Z