Integrated Sensing and Communication

This dataset, created using FEKO software, serves to investigate the impact of human body blockage on electromagnetic (EM) fields as observed by receiver antennas arranged in dense 2D/3D arrays. The simulation scenario involves an Hertzian dipole emitting radiation at 2.4868 GHz and positioned at a height of 0.99 meters. Field measurements are taken over a 3D array with multiple 2D arrays at varying distances from the source. An anthropomorphic obstacle representing a human body is included, featuring dimensions and material properties based on muscle composition.

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This dataset provides Channel Impulse Response (CIR) measurements from standard-compliant IEEE 802.11ay packets to validate Integrated Sensing and Communication (ISAC) methods. The CIR sequences contain reflections of the transmitted packets on people moving in an indoor environment. They are collected with a 60 GHz software-defined radio experimentation platform based on the IEEE 802.11ay Wi-Fi standard, which is not affected by frequency offsets by operating in full-duplex mode.
The dataset is divided into two parts:

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This is a CSI dataset towards 5G NR high-precision positioning,

which is fine-grainedgeneral-purpose and 3GPP R18 standards complied

 

 

The corresponding paper is published here (https://doi.org/10.1109/jsac.2022.3157397).

5G NR is normally considered to as a new paradigm change in integrated sensing and communication (ISAC).

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