Communications
Modern, industrial use cases for wireless communications are related to mobile applications such as moving robotics in industrial environments. For the design of communication systems, the behavior of the radio channel, especially over time, is of great importance. Most of the existing data sets for industrial radio channels originate from static measurement procedures, containing an arbitrary subset of the environment.
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The data repository contains detailed information about theoretical model used in the simulations and data sets obtained with simulations for the article with the title "Maximum-Likelihood Detection with QAOA for Massive MIMO and Sherrington-Kirkpatrick Model with Local Field at Infinite Size". For a comprehensive understanding, please refer to the main article. We apply Quantum-approximate optimization algorithm (QAOA) on maximum-likelihood (ML) detection of massive multiple-input multiple output (MIMO) systems.
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This dataset provides valuable insights into Received Signal Reference Power (RSRP) measurements collected from four User Equipment (UE) devices strategically positioned within a moving train.
Additionally, it includes RSRP values obtained from an external reference source using the rooftop train antenna, all systematically interpolated on a cell and frequency basis, with both datasets available.
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SCVIC-TS-2022: Network intrusion data with original raw network packets
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The increasing complexity of cellular networks has resulted in dynamic network performance optimization (NPO) playing a critical role in streamlining network operations. While the success of NPO techniques primarily depends upon the quality and quantity of telemetry data available from the underlying network, up until now, third-party access to such data has been largely limited due to the prevalence of proprietary interfaces throughout the access network. However, the upcoming open radio access network (RAN) architecture is set to change this trend.
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The data set contains raw channel-sounding data of 30 clinically relevant scenarios, captured in the university clinic of Dresden, Germany, and a script to analyze them. The measurement campaign was conducted in five environments:
- Infirmary (Inf)
- Emergency Room (ER)
- Intensive Care Unit (ICU)
- Hallway (Hall)
- Elevator (Elev)
The patients were performing various motion sequences:
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Dynamic Spectrum Sharing (DSS) is an enabler for a seamless transition from 4G Long TermEvolution (LTE) to 5G New Radio (NR) by utilizing existing LTE bands without static spectrum re-farming. In this paper, we propose a cross-band DSS scheme that utilizes the Multimedia BroadcastMulticast Service over a Single Frequency Network (MBSFN) feature of an LTE network and theMulticast Broadcast Service (MBS) feature of an NR network.
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This repository stores the supplementary material associated to the work "Empirical Validation of a Class of Ray-Based Fading Models". That work is related with stocastich channel characterization and empirical validation. Three alternative scenarios are studied: anechoic and reverberation chambers, and indoor environments. Through the generation of linear combinations of different path measurements, a large amount of possible configurations appear for each one. In order to support the content of this work, several animations have been carried out.
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we propose a novel Non-Line-of-Sight (NLOS) identification and error-mitigation method for dynamic object positioning and ultra-wideband (UWB) ranging. By applying inverse estimation on known Anchor Points (Aps) and improved unscented Kalman filter (IRUKF), the proposed technology identifies and compensates for NLOS occlusions between tag and APs, reducing positioning errors. The approach has been verified through simulation and experiment, with identification precision of 97.02%.
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