Deep Reinforcement Learning Based Energy-Efficient Design for STAR-IRS Assisted V2V Users
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53082-1_11
Reference12 articles.
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2. Liu, Y., et al.: Star: simultaneous transmission and reflection for 360$$^\circ $$ coverage by intelligent surfaces. IEEE Wirel. Commun. 28(6), 102–109 (2021)
3. Budhiraja, I., Vishnoi, V., Kumar, N., Garg, D., Tyagi, S.: Energy-efficient optimization scheme for RIS-assisted communication underlaying UAV with NOMA. In: ICC 2022-IEEE International Conference on Communications, pp. 1–6, IEEE (2022)
4. Sharma, H., et al.: Federated learning based energy efficient scheme for MEC with NOMA underlaying UAV. In: Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, pp. 73–78 (2022)
5. Zhao, N., Liang, Y.-C., Niyato, D., Pei, Y., Wu, M., Jiang, Y.: Deep reinforcement learning for user association and resource allocation in heterogeneous cellular networks. IEEE Trans. Wireless Commun. 18(11), 5141–5152 (2019)
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