PS-002 WALDO (Wireless Artificial intelligence Location DetectiOn)), we finally know where you are: sensing using mmWave communications and ML.
Software and dataset resource for ITU AI/ML 5G Challenge. To register to the challenge, please visit https://challenge.aiforgood.itu.int/match/matchitem/38.
The software does not require any installation procedure: simply download or clone the repository to your local folders.
The codebase to generate the dataset is written in MATLAB. It is currently being tested on MATLAB R2020b. No toolboxes are needed to run the code.
The dataset has been alredy generated and it can be downloaded directly (see Download Dataset)
The dataset is available to download at https://data.nist.gov/od/id/mds2-2417. There are two options to generate the received signals, which need to be used as the input of ITU AI/ML 5G Challenge.
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Option 1: download the received signals dataset, which has been already generated.
- Execute the matlab script
dataset/downloadDataset.mor the phyton scriptdataset/downloadDataset.py - A menu will display multiple download options: enter
Sto download the received signals.
There are 46738 files in the dataset with a total size of 850 GB. The download might take long time depending on the network and local storage speed. A progress percentage reports the download status. - The received signals are downloaded in
dataset\rxSignal.
- Execute the matlab script
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Option 2: download channel data and generate received signals.
- Execute the matlab script
dataset/downloadDataset.mor the phyton scriptdataset/downloadDataset.py - A menu will display multiple download options: enter
Cto download the received signals.
There are 15582 files in the dataset with a total size of 395 GB. The download might take long time depending on the network and local storage speed. A progress percentage reports the download status. - When the download is completed, execute the script
receivedSignalGeneration/scriptGenerateRxSig.m. The script is generating a transmit signal, pass it trough the downloaded channels and add AWGN noise. The received signals are stored indataset\rxSignal.
- Execute the matlab script
To download the validation dataset:
- Execute the matlab script
dataset/downloadDataset.mor the phyton scriptdataset/downloadDataset.py- A menu will display multiple download options: enter
Vto download the received signals. In case of problems in downloading the validation dataset, please send an email to the authors.
- A menu will display multiple download options: enter
Feedbacks and additions are more than welcomed! You can directly contact the authors for any information.
The WALDO challenge has been designed at NIST by Steve Blandino (steve.blandino@nist.gov), Raied Caromi (raied.caromi@nist.gov) and Tanguy Ropitault (tanguy.ropitault@nist.gov).
Please refer to the LICENSE file for more information.
