{"total":1,"items":[{"citing_arxiv_id":"2508.19736","ref_index":6,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Experimental Insights from OpenAirInterface 5G positioning Testbeds: Challenges and solutions","primary_cat":"cs.NI","submitted_at":"2025-08-27T10:07:03+00:00","verdict":"CONDITIONAL","verdict_confidence":"MODERATE","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Three real-world 5G testbeds using OpenAirInterface achieve 1-2 m positioning accuracy in 90% of cases via filtered UL-TDoA with PSO, plus CIR-based fingerprinting for NLoS cases.","context_count":1,"top_context_role":"method","top_context_polarity":"use_method","context_text":"[5] Ahadi, Mohsen and Kaltenberger, Florian. 2023. 5GNR indoor posi- tioning by joint DL-TDoA and DL-AoD. In2023 IEEE Wireless Commu- nications and Networking Conference (WCNC) . IEEE, 1-6. [6] Chan, Y.T. and Ho, K.C. 1994. A simple and efficient estimator for hyperbolic location. IEEE Transactions on Signal Processing 42, 8 (1994), 1905-1915. doi:10.1109/78.301830 [7] del Peral-Rosado, José A. and Yildirim, Ali Y. and Klinger, Nils C. and Nolle, Patric and Razavi, Sara M. and Parsawar, Sagar and Mundla- muri, Rakesh and Kaltenberger, Florian and Sirola, Niilo and Garlaschi, Stefano and Canzian, Luca and Talvitie, Jukka and Flachs, Detlef. 2023. Preliminary Field Results of a Dedicated 5G Positioning Network for"}],"limit":50,"offset":0}