Fatiamento de rede utilizando MEC para integrar V2X por meio do acesso Non-3GPP à rede 6G (5G/B5G)
Abstract
Vehicle-to-everything (V2X) is a technology that involves several transport elements. Vehicle communication with people, infrastructure, network, devices and vehicles contemplate V2X. The communication between vehicles and these elements allow to acquire information with greater agility, assisting in the decision making of the vehicles, in addition to contributing to the construction of a transport ecosystem with more efficient services. In addition to contributing to the construction of a transport ecosystem with more efficient services. In this sense, this work, this work aims to present a proposal for the integration of V2X technology to the 6G network through Non-3GPP access.
References
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Filali, A., Abouaomar, A., Cherkaoui, S., Kobbane, A., and Guizani, M. (2020). Multiaccess edge computing: A survey. IEEE Access, 8:197017–197046.
Hakak, S., Gadekallu, T. R., Maddikunta, P. K. R., Ramu, S. P., M, P., De Alwis, C., and Liyanage, M. (2023). Autonomous vehicles in 5g and beyond: A survey. Vehicular Communications, 39:100551.
Haque, K. F., Abdelgawad, A., Yanambaka, V. P., and Yelamarthi, K. (2020). Lora architecture for v2x communication: An experimental evaluation with vehicles on the move. Sensors, 20(23).
Islam, S. S., Hossain, M. S., Hasan, M. M., Benkhelifa, E., Li, G., Kumar, N., and Ahmad, S. (2019). Network slicing in 5g: Survey and challenges. IEEE Communications Magazine, 57(7):146–153.
Khakimov, A., Loborchuk, A., Ibodullokhodzha, I., Poluektov, D., Elgendy, I. A., and Muthanna, A. (2021). Edge computing resource allocation orchestration system for autonomous vehicles. In The 4th International Conference on Future Networks and Distributed Systems (ICFNDS), ICFNDS ’20, New York, NY, USA. Association for Computing Machinery.
Khan, H., Luoto, P., Samarakoon, S., Bennis, M., and Latva-Aho, M. (2021). Network slicing for vehicular communication. Transactions on Emerging Telecommunications Technologies, 32(1):e3652. e3652 ett.3652.
Mlika, Z. and Cherkaoui, S. (2021). Network slicing with mec and deep reinforcement learning for the internet of vehicles. IEEE Network, 35(3):132–138.
Noor-A-Rahim, M., Liu, Z., Lee, H., Khyam, M. O., He, J., Pesch, D., Moessner, K., Saad, W., and Poor, H. V. (2022). 6g for vehicle-to-everything (v2x) communications: Enabling technologies, challenges, and opportunities. Proceedings of the IEEE, 110(6):712–734.
Paul, M. K., Kwak, K. S., and Kim, K.-R. (2019). 5g network slicing for v2x services: Challenges and opportunities. IEEE Communications Magazine, 57(5):62–68.
Spinelli, F. and Mancuso, V. (2021). Toward enabled industrial verticals in 5g: A survey on mec-based approaches to provisioning and flexibility. IEEE Communications Surveys & Tutorials, 23(1):596–630.
Published
2023-05-22
How to Cite
EDUARDO, Gabriel; LUIZ, André; S. E SILVA, Rogério; MOREIRA, Waldir; FREITAS, Leandro A.; OLIVEIRA-JR, Antonio.
Fatiamento de rede utilizando MEC para integrar V2X por meio do acesso Non-3GPP à rede 6G (5G/B5G). In: WORKSHOP DE REDES 6G (W6G), 3. , 2023, Brasília/DF.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 31-36.
DOI: https://doi.org/10.5753/w6g.2023.752.
