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SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing\n\nThis is the official repository of our paper \"SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing\" presented at ICDCS 2023.\n\n## Datasets\n\nThe datasets used in the paper are hosted at [Hugging Face Datasets](https://huggingface.co/datasets/yoshitomo-matsubara/mu-mimo).  \nYou can use the following commands to download the datasets:\n```shell\nmkdir -p ./resource/datasets/\ngit lfs install\ngit clone https://huggingface.co/datasets/yoshitomo-matsubara/mu-mimo ./resource/datasets/\n```\n\n## Important Notice\nIf you have any questions regarding MATLAB and/or datasets, please directly contact \n[`Niloofar Bahadori`](https://niloobahadori.github.io/) as she provided MATLAB code and Python code to wrap \nthe MATLAB code, set up the MATLAB environment, and created the datasets.\n\n\n## Setup\n- Python 3.8\n- MATLAB 2021R\n- conda\n\n```shell\nconda env create -f environment.yml\n~/anaconda3/bin/pip3 install -r requirements.txt --user\n```\n\n\n## Run\n\n### Train models\n\nUse scripts under `scripts/`  \ne.g.,  \n```shell\nsh scripts/2x2-20mhz/env1-batch.sh\nsh scripts/2x2-20mhz/env2-batch.sh\n```\n\n### Test models with post-training quantization\n\nUse scripts under `scripts-quantization/`  \ne.g.,  \n```shell\nsh scripts-quantization/2x2-20mhz/env1-batch.sh\nsh scripts-quantization/2x2-20mhz/env2-batch.sh\n```\n\n\n## Citation\n\n```bibtex\n@inproceedings{bahadori2023splitbeam,\n  title={{SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing}},\n  author={Bahadori, Niloofar and Matsubara, Yoshitomo and Levorato, Marco and Restuccia, Francesco},\n  booktitle={2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS)},\n  pages={864--874},\n  year={2023},\n  organization={IEEE}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyoshitomo-matsubara%2Fsplit-beam","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyoshitomo-matsubara%2Fsplit-beam","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyoshitomo-matsubara%2Fsplit-beam/lists"}