├── Files ├── bler_Tb_100mW.npy ├── bler_Tb_200mW.npy ├── bler_Tb_n8.npy ├── bler_uw_100mW.npy ├── bler_uw_200mW.npy ├── bler_uw_n8.npy ├── bler_w1_100mW.npy ├── bler_w2_100mW.npy ├── bler_w4_100mW.npy ├── bler_w_100mW.npy ├── bler_w_200mW.npy ├── bler_w_n8.npy ├── files.md ├── rmse_Tb_100mW.npy ├── rmse_Tb_200mW.npy ├── rmse_Tb_n8.npy ├── rmse_uw_100mW.npy ├── rmse_uw_200mW.npy ├── rmse_uw_n8.npy ├── rmse_w1_100mW.npy ├── rmse_w2_100mW.npy ├── rmse_w4_100mW.npy ├── rmse_w_100mW.npy ├── rmse_w_200mW.npy └── rmse_w_n8.npy ├── Final ├── RMSE_SPL_uw_SPL_w_TB _100mW.ipynb ├── RMSE_SPL_uw_SPL_w_TB _100mW_n4.ipynb ├── RMSE_SPL_uw_SPL_w_TB.ipynb └── readme.md ├── README.md └── SPL_uw|SPL_w|TB.ipynb /Files/bler_Tb_100mW.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neelabhro/Deep-Learning-based-Wireless-Communications/01a7eeb9279b6a4977d59f1bf0947838ae8166f6/Files/bler_Tb_100mW.npy 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https://raw.githubusercontent.com/neelabhro/Deep-Learning-based-Wireless-Communications/01a7eeb9279b6a4977d59f1bf0947838ae8166f6/Files/rmse_w_200mW.npy -------------------------------------------------------------------------------- /Files/rmse_w_n8.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neelabhro/Deep-Learning-based-Wireless-Communications/01a7eeb9279b6a4977d59f1bf0947838ae8166f6/Files/rmse_w_n8.npy -------------------------------------------------------------------------------- /Final/readme.md: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Deep-Learning-based-Wireless-Communications 2 | 3 | Reproducible code for the paper: "Semantically Optimized End-to-End Learning for Positional Telemetry in Vehicular Scenarios" accepted at The 19th International Conference on Wireless and Mobile Computing, Networking and Communications 2023 4 | 5 | 6 | Cite us as: 7 | - Plain text: 8 | 9 | ```text 10 | N. Roy, S. Mostafavi and J. Gross, "Semantically Optimized End-to-End Learning for Positional Telemetry in Vehicular Scenarios," 2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Montreal, QC, Canada, 2023, pp. 425-430, doi: 10.1109/WiMob58348.2023.10187801. 11 | ``` 12 | - BibLatex/BibTex: 13 | 14 | ```bibtex 15 | @INPROCEEDINGS{10187801, 16 | author={Roy, Neelabhro and Mostafavi, Samie and Gross, James}, 17 | booktitle={2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)}, 18 | title={Semantically Optimized End-to-End Learning for Positional Telemetry in Vehicular Scenarios}, 19 | year={2023}, 20 | volume={}, 21 | number={}, 22 | pages={425-430}, 23 | doi={10.1109/WiMob58348.2023.10187801}} 24 | 25 | ``` 26 | (https://arxiv.org/abs/2305.03877 and https://ieeexplore.ieee.org/document/10187801) 27 | --------------------------------------------------------------------------------