Abstract
Future 6G networks are envisioned to provide ultra-massive machine-type communications. But such a huge number of devices implies an extraordinary resource consumption, which surely will exceed the network resources. To mitigate this problem, static optimization algorithms are used to efficiently distribute existing resources. However, this approach presents three basic problems. First, every 6G device must fulfill a different business case. So, some Service Level Agreements may be breached more easily than others. Second, in 6G mobile networks, base stations can increase their resources dynamically, although their operation cost would increase. However, some devices could accept this additional charge. And third, 6G mobile devices should know the actual Service Level Agreement offered by each base station before stablishing the final connection. Therefore, in this paper, we propose a new resource management solution for 6G networks, based on the union of static optimization algorithms and Blockchain-enabled Service Level Agreements, which can be renegotiated dynamically. A transparent Blockchain network allows 6G devices to negotiate their Service Level Agreement with different base stations, before stablishing any connection. The guaranteed Quality-of-Service, the maximum Quality-of-Service, and the tariffication are included in Smart Contracts. Particle swarm optimization algorithms are employed to allocate resources and study the future potential resource distribution. A multilevel optimization scheme is proposed, so we ensure that devices receive resources according to their Service Level Agreement category. Also, an experimental validation based on simulation tools is provided. Results show that the Service Level Agreement fulfillment rate increases by up to 31% compared to equivalent static optimization mechanisms.
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This work is supported by the Ministry of Science, Innovation and Universities through the COGNOS project (PID2019-105484RB-I00).
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Bordel, B., Alcarria, R., Robles, T., Hermoso, M. (2023). Dynamic Service Level Agreements and Particle Swarm Optimization Methods for an Efficient Resource Management in 6G Mobile Networks. In: Bravo, J., Urzáiz, G. (eds) Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). UCAmI 2023. Lecture Notes in Networks and Systems, vol 841. Springer, Cham. https://doi.org/10.1007/978-3-031-48590-9_4
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