zenodoopen

Measurement-based MIMO channel model at 140GHz

1. Introduction The file “gen_dd_channel.zip” is a package of a wideband multiple-input multiple-output (MIMO) stored radio channel model at 140 GHz in indoor hall, outdoor suburban, residential and urban scenarios. The package consists of 1) measured wideband double-directional multipath data sets estimated from radio channel sounding and processed through measurement-based ray-launching and 2) MATLAB code sets that allows users to generate wideband MIMO radio channels with various antenna array types, e.g., uniform planar and circular arrays at link ends. 2. What does this package do? Outputs of the channel model The MATLAB file “ChannelGeneratorDD_hexax.m” gives the following variables, among others. The .m file also gives optional figures illustrating antennas and radio channel responses. <table> <tbody> <tr> <td> Variables </td> <td> Descriptions </td> </tr> <tr> <td> CIR </td> <td> MIMO channel impulse responses </td> </tr> <tr> <td> CFR </td> <td> MIMO channel frequency responses </td> </tr> </tbody> </table> Inputs to the channel model In order for the MATLAB file “ChannelGeneratorDD_hexax.m” to run properly, the following inputs are required. <table> <tbody> <tr> <td> Directory </td> <td> Descriptions </td> </tr> <tr> <td> data_030123_double_directional_paths </td> <td> Double-directional multipath data, measured and complemented by ray-launching tool, for various cellular sites. </td> </tr> </tbody> </table> User’s parameters When using “ChannelGeneratorDD_hexax.m”, the following choices are available. <table> <tbody> <tr> <td> Features </td> <td> Choices </td> </tr> <tr> <td> Channel model types for transfer function generation </td> <td> <ul> <li> 'snapshot': single time sample per link = static, random phase for each path, amplitude from measurements </li> <li>'virtualMotion': Doppler shifts & temporal fading, static propagation parameters, random phase for each path, amplitude from measurements, Doppler frequency per path from AoA and velocity vector</li> </ul> </td> </tr> <tr> <td> Antenna / beam shapes </td> <td> <ul> <li> 'single3GPP': single antenna element with power pattern shape defined in 3GPP, adjustable HPBW etc. </li> <li> 'URA': uniform rectangular array, omni-directional elements </li> <li>'UCA': uniform circular array, omni-directional elements</li> </ul> </td> </tr> </tbody> </table> List of files in the dataset MATLAB codes that implement the channel model The MATLAB files consist of the following files. <table> <tbody> <tr> <td> File and directory names </td> <td> Descriptions </td> </tr> <tr> <td> readme_100223.txt </td> <td> Readme file; please read it before using the files </td> </tr> <tr> <td> ChannelGeneratorDD_hexax.m </td> <td> Main code to run; a code to integrate antenna arrays and double-directional path data to derive MIMO radio channels. No need to see/edit other files. </td> </tr> <tr> <td> gen_pathDD.m, randl.m, randLoc.m </td> <td> Sub-routines used in ChannelGeneratorDD_hexax.m; no need of modifications. </td> </tr> <tr> <td> Hexa-X channel generator DD_presentation.pdf </td> <td> User manual of ChannelGeneratorDD_hexax.m. </td> </tr> </tbody> </table>   Measured multipath data The directory "data_030123_double_directional_paths" in the package contains the following files. <table> <tbody> <tr> <td> Filenames </td> <td> Descriptions </td> </tr> <tr> <td> readme_100223.txt </td> <td> Readme file; please read it before using the files </td> </tr> <tr> <td> RTdata_[scenario]_[date].mat </td> <td> Containing double-directional multipath parameters at 140 GHz in the specified scenario, estimated from radio channel sounding and ray-tracing. </td> </tr> <tr> <td> description_of_data_dd_[scenario].pdf </td> <td> Explaining data formats, the measurement site and sample results. </td> </tr> </tbody> </table> References Details of the data set are available in the following two documents: The stored channel models A. Nimr (ed.), "Hexa-X Deliverable D2.3 Radio models and enabling techniques towards ultra-high data rate links and capacity in 6G," April 2023, available: https://hexa-x.eu/deliverables/ @misc{Hexa-XD23,     author    = {{A. Nimr (ed.)}},     title     = {{Hexa-X Deliverable D2.3 Radio models and enabling techniques towards ultra-high data rate links and capacity in 6G}},     year     = {2023},     month    = {Apr.},      howpublished               = {https://hexa-x.eu/deliverables/}, } Derivation of the data, i.e., radio channel sounding and measurement-based ray-launching M. F. De Guzman and K. Haneda, "Analysis of wave-interacting objects in indoor and outdoor environments at 142 GHz," IEEE Transactions on Antennas and Propagation, vol. 71, no. 12, pp. 9838-9848, Dec. 2023, doi: 10.1109/TAP.2023.3318861 @ARTICLE{DeGuzman23_TAP,   author={De Guzman, Mar Francis and Haneda, Katsuyuki},   journal={IEEE Transactions on Antennas and Propagation},    title={Analysis of Wave-Interacting Objects in Indoor and Outdoor Environments at 142 {GHz}},    year={2023},   volume={71},   number={12},   pages={9838-9848}, } Finally, the code “randl.m” are from the following MATLAB Central File Exchange. Hristo Zhivomirov (2023). Generation of Random Numbers with Laplace Distribution (https://www.mathworks.com/matlabcentral/fileexchange/53397-generation-of-random-numbers-with-laplace-distribution), MATLAB Central File Exchange. Retrieved February 15, 2023. Data usage terms Any usage of the data must be upon consent on the following conditions: <ul> <li>The file “ChannelGeneratorDD_hexax.m” is owned by OUL. Contact: Dr. Pekka Kyösti, Pekka.Kyosti@oulu.fi.</li> <li>The other files and those in the directories, except for “randl.m”, are owned by AAU. Contact: Mr. Mar Francis de Guzman, francis.deguzman@aalto.fi.</li> <li>When a scientific paper is published that exploits the data and code, please cite this data set; the citation can be downloaded from the zenodo page of this data set.</li> </ul>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship: 4
Harmonization: 8
Access: 16
Reuse readiness: 8
Engagement: 8