Benavente Vilas, MartaFresnedo, ÓscarPereira Ruisánchez, Dariel2026-09-182026-09-182025Benavente Vilas, M., Fresnedo, Ó., & Pérez Ruisánchez, D. (2026). Optimization of the Scheduling Problem in Cell-Free Massive MIMO Communication Systems. In Proceedings XoveTIC 2025: Impulsando el talento científico (pp. 115-122). Servizo de Publicacións UDC. https://doi.org/10.17979/spu.23.c25978-84-9749-925-5https://hdl.handle.net/2183/49321Presentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña.[Abstract] This work addresses the selection of subsets of access points (APs) to serve users cooperatively in Cell-Free Massive MIMO (Multiple-Input Multiple-Output) systems. Traditional cellular architectures suffer from coverage and interference issues at cell edges. In contrast, Cell-Free networks distribute simpler APs uniformly across the area, enhancing spectral efficiency and connection quality. We simulate realistic communication scenarios to train a Deep Contextual Bandits (DCB) model that optimizes AP assignment based on user channel gains and interference. Alternative data-driven approaches, such as loss-based models and fuzzy clustering, are also developed and evaluated. Results show that DCB offers scalable, adaptive performance for next-generation wireless networks like B5G and 6G.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Cell-free massive MIMOAccess point selectionDeep contextual banditsWireless resource allocationBeyond-5G networkconference outputopen access10.17979/spu.23.c25