Personalized Vehicle Task Offloading Based on the Recommender System
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3682-9_39
Reference15 articles.
1. Duan, W., Gu, J., Wen, M., et al.: Emerging technologies for 5G-IoV networks: applications, trends, and opportunities. IEEE Network 34(5), 283–289 (2020)
2. Chen, C., Zeng, Y., Li, H., et al.: A multi-hop task offloading decision model in MEC-enabled internet of vehicles. IEEE Internet Things J. (2022)
3. Wan, S., Gu, R., Umer, T., et al.: Toward offloading internet of vehicles applications in 5G networks. IEEE Trans. Intell. Transp. Syst. 22(7), 4151–4159 (2020)
4. Raza, S., Wang, S., Ahmed, M., et al.: Task offloading and resource allocation for IoV using 5G NR-V2X communication. IEEE Internet Things J. (2021)
5. Li, X.: A computing offloading resource allocation scheme using deep reinforcement learning in mobile edge computing systems. J. Grid Comput. 19(3), 1–12 (2021)
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