Multi-user reinforcement learning based multi-reward for spectrum access in cognitive vehicular networks
Author:
Funder
the National Natural Science Foundation of China
Science and Technology Department of Jilin Provincial, China
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11235-023-01004-6.pdf
Reference35 articles.
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4. Gao, H., Liu, C., Li, Y., & Yang, X. (2020). V2vr: Reliable hybrid-network-oriented v2v data transmission and routing considering rsus and connectivity probability. IEEE Transactions on Intelligent Transportation Systems, 22(6), 3533–3546.
5. Villas, L. A., Boukerche, A., Maia, G., Pazzi, R. W., & Loureiro, A. A. (2014). Drive: An efficient and robust data dissemination protocol for highway and urban vehicular ad hoc networks. Computer Networks, 75, 381–394.
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