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...

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Detalles Bibliográficos
Autores principales: Adeogun, Ramoni, Berardinelli, Gilberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269819/
https://www.ncbi.nlm.nih.gov/pubmed/35808557
http://dx.doi.org/10.3390/s22135062

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