Otimização de Recursos de Rádio em Dispositivos LoRa Utilizando Programação Linear: Uma Abordagem para Eficiência Energética e Longevidade da Bateria em Redes 6G
Resumo
O eficiente gerenciamento dos recursos de rádio é de suma importância para garantir uma prolongada vida útil da bateria em dispositivos LoRa. Este artigo apresenta uma abordagem inovadora para otimizar recursos de rádio em dispositivos LoRa, com um foco específico na eficiência energética e na longevidade da bateria em contextos de redes 6G. Através da aplicação da técnica de programação linear inteira, a alocação de recursos essenciais, como o Fator de Espalhamento (SF) e a Potência de Transmissão (TP), é abordada de maneira estratégica. São considerados cenários realistas que incorporam múltiplos gateways, diversos nós, interferências relacionadas aos SFs, zonas de interferência e outras características práticas. Ressaltamos a relevância de adotar cenários realistas para a determinação de SFs e TPs, visando a maximização da eficiência energética e a observância da métrica crítica de taxa de entrega de pacotes.Referências
Babaki, J., Rasti, M., and Aslani, R. (2020). Dynamic spreading factor and power allocation of LoRa networks for dense IoT deployments. In 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, pages 1–6.
Bankov, D., Khorov, E., and Lyakhov, A. (2017). Mathematical model of LoRaWAN channel access with capture effect. In 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pages 1–5.
Bor, M., Roedig, U., Voigt, T., and Alonso, J. (2016). Do LoRa Low-Power Wide-Area Networks scale?
Choi, T., Ito, M., Kanno, I., Gomez-Ponce, J., Bullard, C., Ohseki, T., Yamazaki, K., and Molisch, A. F. (2021). Energy efficiency of uplink cell-free massive MIMO with transmit power control in measured propagation channel. IEEE Open Journal of Circuits and Systems, 2:792–804.
Croce, D., Gucciardo, M., Mangione, S., Santaromita, G., and Tinnirello, I. (2018). Impact of LoRa imperfect orthogonality: Analysis of link-level performance. IEEE Communications Letters, 22(4):796–799.
Croce, D., Gucciardo, M., Mangione, S., Santaromita, G., and Tinnirello, I. (2020). LoRa technology demystified: From link behavior to cell-level performance. IEEE Transactions on Wireless Communications, 19(2):822–834.
J. Petajajarvi, K. Mikhaylov, A. R. T. H. e. M. P. (2015). On the coverage of LPWANs: range evaluation and channel attenuation model for LoRa technology. ITS Telecommunications (ITST), 14th International Conference on. IEEE, pages 55–59.
Jia, G., Han, G., Li, A., and Du, J. (2018). SSL: Smart Street Lamp based on fog computing for smarter cities. IEEE Transactions on Industrial Informatics, 14(11):4995–5004.
Li, S., Raza, U., and Khan, A. (2018). How agile is the adaptive data rate mechanism of LoRaWAN? In 2018 IEEE Global Communications Conference (GLOBECOM), pages 206–212.
Lv, Z., Lou, R., Li, J., Singh, A. K., and Song, H. (2021). Big data analytics for 6G-enabled massive Internet of Things. IEEE Internet of Things Journal, 8(7):5350–5359.
Mahmood, A., Sisinni, E., Guntupalli, L., Rondon, R., Hassan, S. A., and Gidlund, M. (2019a). Scalability analysis of a LoRa network under imperfect orthogonality. IEEE Transactions on Industrial Informatics, 15(3):1425–1436.
Mahmood, A., Sisinni, E., Guntupalli, L., Rondon, R., Hassan, S. A., and Gidlund, M. (2019b). Scalability analysis of a LoRa network under imperfect orthogonality. IEEE Transactions on Industrial Informatics, 15(3):1425–1436.
Park, G., Lee, W., and Joe, I. (2020). Network resource optimization with reinforcement learning for low power wide area networks. EURASIP Journal on Wireless Communications and Networking, 2020.
Premsankar, G., Ghaddar, B., Slabicki, M., and Francesco, M. D. (2020). Optimal configuration of LoRa networks in smart cities. IEEE Transactions on Industrial Informatics, 16(12):7243–7254.
Raza, U., Kulkarni, P., and Sooriyabandara, M. (2017). Low power wide area networks: An overview. IEEE Communications Surveys Tutorials, 19(2):855–873.
Reynders, B., Meert, W., and Pollin, S. (2017). Power and spreading factor control in low power wide area networks. In 2017 IEEE International Conference on Communications (ICC), pages 1–6.
Sisinni, E., Saifullah, A., Han, S., Jennehag, U., and Gidlund, M. (2018). Industrial Internet of Things: Challenges, opportunities, and directions. IEEE Transactions on Industrial Informatics, 14(11):4724–4734.
Slabicki, M., Premsankar, G., and Di Francesco, M. (2018). Adaptive configuration of LoRa networks for dense IoT deployments. In NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, pages 1–9.
Varsier, N. and Schwoerer, J. (2017). Capacity limits of LoRaWAN technology for smart metering applications. In 2017 IEEE International Conference on Communications (ICC), pages 1
Bankov, D., Khorov, E., and Lyakhov, A. (2017). Mathematical model of LoRaWAN channel access with capture effect. In 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pages 1–5.
Bor, M., Roedig, U., Voigt, T., and Alonso, J. (2016). Do LoRa Low-Power Wide-Area Networks scale?
Choi, T., Ito, M., Kanno, I., Gomez-Ponce, J., Bullard, C., Ohseki, T., Yamazaki, K., and Molisch, A. F. (2021). Energy efficiency of uplink cell-free massive MIMO with transmit power control in measured propagation channel. IEEE Open Journal of Circuits and Systems, 2:792–804.
Croce, D., Gucciardo, M., Mangione, S., Santaromita, G., and Tinnirello, I. (2018). Impact of LoRa imperfect orthogonality: Analysis of link-level performance. IEEE Communications Letters, 22(4):796–799.
Croce, D., Gucciardo, M., Mangione, S., Santaromita, G., and Tinnirello, I. (2020). LoRa technology demystified: From link behavior to cell-level performance. IEEE Transactions on Wireless Communications, 19(2):822–834.
J. Petajajarvi, K. Mikhaylov, A. R. T. H. e. M. P. (2015). On the coverage of LPWANs: range evaluation and channel attenuation model for LoRa technology. ITS Telecommunications (ITST), 14th International Conference on. IEEE, pages 55–59.
Jia, G., Han, G., Li, A., and Du, J. (2018). SSL: Smart Street Lamp based on fog computing for smarter cities. IEEE Transactions on Industrial Informatics, 14(11):4995–5004.
Li, S., Raza, U., and Khan, A. (2018). How agile is the adaptive data rate mechanism of LoRaWAN? In 2018 IEEE Global Communications Conference (GLOBECOM), pages 206–212.
Lv, Z., Lou, R., Li, J., Singh, A. K., and Song, H. (2021). Big data analytics for 6G-enabled massive Internet of Things. IEEE Internet of Things Journal, 8(7):5350–5359.
Mahmood, A., Sisinni, E., Guntupalli, L., Rondon, R., Hassan, S. A., and Gidlund, M. (2019a). Scalability analysis of a LoRa network under imperfect orthogonality. IEEE Transactions on Industrial Informatics, 15(3):1425–1436.
Mahmood, A., Sisinni, E., Guntupalli, L., Rondon, R., Hassan, S. A., and Gidlund, M. (2019b). Scalability analysis of a LoRa network under imperfect orthogonality. IEEE Transactions on Industrial Informatics, 15(3):1425–1436.
Park, G., Lee, W., and Joe, I. (2020). Network resource optimization with reinforcement learning for low power wide area networks. EURASIP Journal on Wireless Communications and Networking, 2020.
Premsankar, G., Ghaddar, B., Slabicki, M., and Francesco, M. D. (2020). Optimal configuration of LoRa networks in smart cities. IEEE Transactions on Industrial Informatics, 16(12):7243–7254.
Raza, U., Kulkarni, P., and Sooriyabandara, M. (2017). Low power wide area networks: An overview. IEEE Communications Surveys Tutorials, 19(2):855–873.
Reynders, B., Meert, W., and Pollin, S. (2017). Power and spreading factor control in low power wide area networks. In 2017 IEEE International Conference on Communications (ICC), pages 1–6.
Sisinni, E., Saifullah, A., Han, S., Jennehag, U., and Gidlund, M. (2018). Industrial Internet of Things: Challenges, opportunities, and directions. IEEE Transactions on Industrial Informatics, 14(11):4724–4734.
Slabicki, M., Premsankar, G., and Di Francesco, M. (2018). Adaptive configuration of LoRa networks for dense IoT deployments. In NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, pages 1–9.
Varsier, N. and Schwoerer, J. (2017). Capacity limits of LoRaWAN technology for smart metering applications. In 2017 IEEE International Conference on Communications (ICC), pages 1
Publicado
07/12/2023
Como Citar
LIMA, Rayane Araújo; RIBEIRO, Maria; OLIVEIRA-JR, Antonio.
Otimização de Recursos de Rádio em Dispositivos LoRa Utilizando Programação Linear: Uma Abordagem para Eficiência Energética e Longevidade da Bateria em Redes 6G. In: ESCOLA REGIONAL DE INFORMÁTICA DE GOIÁS (ERI-GO), 11. , 2023, Goiânia/GO.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
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DOI: https://doi.org/10.5753/erigo.2023.237356.
