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Multi-Agent Dynamic Resource Allocation in 6G in-X Subnetworks with Limited Sensing Information
In this paper, we investigate dynamic resource selection in dense deployments of the recent 6G mobile in-X subnetworks (inXSs). We cast resource selection in inXSs as a multi-objective optimization problem involving maximization of the minimum capacity per inXS while minimizing overhead from intra-s...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269819/ https://www.ncbi.nlm.nih.gov/pubmed/35808557 http://dx.doi.org/10.3390/s22135062 |