Learn with Curiosity: A Hybrid Reinforcement Learning Approach for Resource Allocation for 6G enabled Connected Cars
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s11036-023-02126-6.pdf
Reference26 articles.
1. Chen X, Wu C, Chen T, Zhang H, Liu Z, Zhang Y, Bennis M (2020) Age of information aware radio resource management in vehicular networks: A proactive deep reinforcement learning perspective. IEEE Trans Wireless Commun 19(4):2268–2281
2. Zhou H, Xu W, Bi Y, Chen J, Yu Q, Shen XS (2017) Toward 5g spectrum sharing for immersive-experience-driven vehicular communications. IEEE Wireless Commun 24(6):30–37
3. Vegni AM, Agrawal DP (2016) Cognitive Vehicular Networks. CRC Press Inc, Boca Raton, FL, USA
4. Liang L, Peng H, Li GY, Shen X (2017) Vehicular communications: A physical layer perspective. IEEE Trans Veh Technol 66(12):10 647-10 659
5. Ye H, Li GY, Juang BHF (2019) Deep reinforcement learning based resource allocation for V2V communications. IEEE Trans Veh Technol 68(4):3163–3173
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