Fatiamento de rede utilizando MEC para integrar V2X por meio do acesso Non-3GPP à rede 6G (5G/B5G)
Resumo
Vehicle-to-everything (V2X) é uma tecnologia que envolve diversos elementos do transporte. A comunicação de veículos com pessoas, infraestrutura, rede, dispositivos e os veículos contemplam o V2X. A comunicação entre veículos e esses elementos permitem adquirir informações com maior agilidade, auxiliando na tomada de decisão dos veículos, além de contribuir para a construção de um ecossistema de transporte com serviços mais eficientes. Nesse sentindo, este trabalho, tem como objetivo apresentar uma proposta de integração da tecnologia V2X à rede 6G por meio do acesso Non-3GPP.
Referências
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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.
Digi International (acessado em 5 de abril de 2023). Introduction to smart transportation benefits. [link].
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.
Publicado
22/05/2023
Como Citar
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.
