"High-Resolution Indoor 5G CSI and Link Metrics Dataset"

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Authors: Aswathy Puthukkulam, Priyanka Malhan, Arun Kumar Singh
Cited by: 0

Abstract

"This dataset provides high-resolution CSI (Channel State Information) and radio link measurements collected from an experimental 5G testbed implemented using the OpenAirInterface (OAI) platform. The dataset includes multiple physical-layer and MAC-layer indicators such as Channel Quality Indicator (CQI), signal-to-noise ratio (SNR), modulation and coding scheme (MCS), block error rate (BLER), and hybrid automatic repeat request (HARQ) statistics, recorded at fine temporal granularity. Measurements were conducted across two distinct indoor propagation environments to capture channel variations arising from differences in user equipment (UE)\u2013radio unit (RU) separation distance and propagation geometry. This dataset enables analysis of environment-induced channel variability and cross-layer radio performance characteristics. It is intended to support research in wireless network digital twin development, radio environment modeling, and data-driven optimization for 5G and beyond networks."

Fields of Study & Subjects

Millimeter-Wave Propagation and Modeling Advanced Wireless Network Optimization Advanced Wireless Communication Techniques

Publication details

Journal / source
IEEE DataPort
Publication date
11 March 2026
Language
EN
Document type
Dataset