Dynamic Spectrum Optimization for Internet-of-Vehicles with Deep-Learning-Based Mobility Prediction
Author:
Funder
Shenzhen Science and Technology Innovation Program
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11277-024-11449-w.pdf
Reference30 articles.
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2. Qiao, G., Leng, S., Zhang, K., et al. (2018). Collaborative task offloading in vehicular edge multi-access networks. IEEE Communications Magazine, 56(8), 48–54. https://doi.org/10.1109/MCOM.2018.1701130
3. Lam, K. Y., Mitra, S., Gondesen, F., & Yi, X. (2021). ANT-centric IoT security reference architecture-security-by-design for satellite-enabled smart cities. IEEE Internet of Things Journal, 9(8), 5895–5908. https://doi.org/10.1109/JIOT.2021.3073734
4. Abhishek, U., & Darak, S. J. (2017). Bayesian multi-armed bandit framework for multi-band auction based dynamic spectrum access in multi-user decentralized networks. In Proc. URSI GASS (pp. 1–4). https://doi.org/10.23919/URSIGASS.2017.8105306
5. Ye, J., Kang, X., Liang, Y.-C., & Sun, S. (2022). A trust-centric privacy-preserving blockchain for dynamic spectrum management in IoT networks. IEEE Internet of Things Journal, 9(15), 13263–13278. https://doi.org/10.1109/JIOT.2022.3142989
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