20.500.12556/DiRROS-30547 An indoor radio mapping dataset combining 3D point clouds and RSSI The growing number of smart devices supporting bandwidth-intensive and latency-sensitive applications, such as real-time video analytics, smart sensing, Extended Reality (XR), etc., necessitates reliable indoor wireless connectivity. In such environments, accurate Radio Environment Maps (REMs) enable adaptive wireless network planning and optimization of Access Point (AP) placement. However, generating realistic REMs remains difficult due to the variability of indoor environments and the limitations of existing modelling approaches, which often rely on simplified layouts or synthetic data. These challenges are further amplified by the adoption of next-generation Wi-Fi standards, operating at higher frequencies with limited range and wall penetration. To support progress in this area, we collected a dataset that combines high-resolution 3D LiDAR scans with Wi-Fi RSSI measurements across 20 setups in a multi-room indoor environment. It includes two measurement scenarios, one with and one without human presence, enabling development and validation of REM estimation models that incorporate physical geometry and environmental dynamics. The described dataset supports research in data-driven wireless modelling and the development of high-capacity indoor communication networks. indoor radio mapping LIDAR RSSI wireless dataset notranje radijsko kartiranje LIDAR indikator jakosti sprejetega signala brezžični podatkovni nabor true false true Elsevier Nizozemska Angleški jezik Slovenski jezik © 2026 The Author(s). Neznano 2026-06-29 12:44:36 2026-06-29 12:44:37 2026-06-30 04:12:08 0000-00-00 00:00:00 2025 0 0 Nasl. z nasl. zaslona; Soavtorji: Kuon Akiyama, Blaž Bertalanič, Jernej Hribar, Ryoichi Shinkuma; Opis vira z dne 23. 6. 2026; str. 1-19 Vol. 67, [article no.] 112959 Aug. 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2026-03-23 2026-06-09 2026-06-13 004.7 2352-3409 10.1016/j.dib.2026.112959 282631171 https://www.sciencedirect.com/science/article/pii/S2352340926005093 1 870e4165-73a7-11f1-a785-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=46463 RAZ_Milosheski_Ljupcho_2025.pdf RAZ_Milosheski_Ljupcho_2025.pdf 1 1A8F90A4DABEA1DC24E0E60CC6442A1B f30dc9406055ea048ee3d6fa5b8313ab012592001505fed608e0af1d3c94cd63 d0c18c3d-73a7-11f1-a785-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=46467 Institut Jožef Stefan 0 0 0