Can Beam Reports Update a Digital Twin? Identifiability of Reflector Geometry and Material from Wide-Beam RSRP

Cellular networks already collect phaseless, 1 dB-quantized power reports on a few wide beams. We ask what they reveal about a reflecting wall in a radio digital twin. Without a second coherent path the reflection phase is invisible; one user never locates the wall, two generically do, and two at distinct incidence angles identify a Fresnel slab's permittivity and conductivity. In ray-traced Munich and Paris scenes, with user positions known to 1 m, ten users bound the wall offset to 0.8-3.0 m. A maximum a posteriori fit meets the bound locally, but a multimodal cost sends 2-9% of fits at 1 dB noise (up to 24% at 0.25 dB) to distant basins. The material is locally but not globally identifiable and is better classified, with 78-86% accuracy among seven classes. A map prior helps only until the wall has moved by about the radio-only error. If the twin models the wall's two-bounce paths, a likelihood-ratio test keeps its 1% false-alarm rate on fully ray-traced reports. With ten users it detects a 4 m move in 92-100% of model-generated cases and in 86-91% when the moved facade is re-traced, and a 2 m move in 39-59% and 71-82%. The same factorization reduces a 64-element malicious surface to one complex number per user; searching it directly lowers the top-1 accuracy of a learned beam predictor from 26.8% to 11.3%. Author-prepared preprint for the IEEE International Symposium on Joint Communications & Sensing (JC&S) 2027. Not peer reviewed.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23838538
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Can Beam Reports Update a Digital Twin? Identifiability of Reflector Geometry and Material from Wide-Beam RSRP

Imran Rashid, Usama Mustafa
Zenodo (CERN European Organization for Nuclear Research)
Millimeter-Wave Propagation and Modeling
preprint

Can Beam Reports Update a Digital Twin? Identifiability of Reflector Geometry and Material from Wide-Beam RSRP

Imran Rashid, Usama Mustafa
preprint en

Abstract

Cellular networks already collect phaseless, 1 dB-quantized power reports on a few wide beams. We ask what they reveal about a reflecting wall in a radio digital twin. Without a second coherent path the reflection phase is invisible; one user never locates the wall, two generically do, and two at distinct incidence angles identify a Fresnel slab's permittivity and conductivity. In ray-traced Munich and Paris scenes, with user positions known to 1 m, ten users bound the wall offset to 0.8-3.0 m. A maximum a posteriori fit meets the bound locally, but a multimodal cost sends 2-9% of fits at 1 dB noise (up to 24% at 0.25 dB) to distant basins. The material is locally but not globally identifiable and is better classified, with 78-86% accuracy among seven classes. A map prior helps only until the wall has moved by about the radio-only error. If the twin models the wall's two-bounce paths, a likelihood-ratio test keeps its 1% false-alarm rate on fully ray-traced reports. With ten users it detects a 4 m move in 92-100% of model-generated cases and in 86-91% when the moved facade is re-traced, and a 2 m move in 39-59% and 71-82%. The same factorization reduces a 64-element malicious surface to one complex number per user; searching it directly lowers the top-1 accuracy of a learned beam predictor from 26.8% to 11.3%. Author-prepared preprint for the IEEE International Symposium on Joint Communications & Sensing (JC&S) 2027. Not peer reviewed.

Zenodo (CERN European Organization for Nuclear Research)
National University of Sciences and Technology (PK)
Millimeter-Wave Propagation and Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Can Beam Reports Update a Digital Twin? Identifiability of Reflector Geometry and Material from Wide-Beam RSRP — Imran Rashid, Usama Mustafa · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS