{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/ieee-802-11bn-multi-ap-coordinated-spatial","title":"IEEE 802.11bn Multi-AP Coordinated Spatial Reuse with Hierarchical Multi-Armed Bandits","arxiv_id":"2501.03680","date":"2025-01-07","proceeding":null,"authors":["Maksymilian Wojnar","Wojciech Ciezobka","Katarzyna Kosek-Szott","Krzysztof Rusek","Szymon Szott","David Nunez","Boris Bellalta"],"abstract":"Coordination among multiple access points (APs) is integral to IEEE 802.11bn (Wi-Fi 8) for managing contention in dense networks. This letter explores the benefits of Coordinated Spatial Reuse (C-SR) and proposes the use of reinforcement learning to optimize C-SR group selection. We develop a hierarchical multi-armed bandit (MAB) framework that efficiently selects APs for simultaneous transmissions across various network topologies, demonstrating reinforcement learning's promise in Wi-Fi settings. Among several MAB algorithms studied, we identify the upper confidence bound (UCB) as particularly effective, offering rapid convergence, adaptability to changes, and sustained performance.","url_abs":"https://arxiv.org/abs/2501.03680v2","url_pdf":"https://arxiv.org/pdf/2501.03680v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"ieee-802-11bn-multi-ap-coordinated-spatial","repo_url":"https://github.com/ml4wifi-devs/mapc-mab","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"jax","reach":null},{"paper_slug":"ieee-802-11bn-multi-ap-coordinated-spatial","repo_url":"https://github.com/ml4wifi-devs/mapc-sim","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"jax","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}