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| Format: | Recurso digital |
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Zenodo
2023
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| Online Access: | https://doi.org/10.5281/zenodo.7635579 |
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Table of Contents:
- <p>This release contains the source code for simulating two mechanisms which modify the operation of IEEE 802.11ax UORA OBO countdown:</p> <ul> <li>Efficient OBO (E-OBO) -- proposed in K. Kosek-Szott and K. Domino, "<a href="https://ieeexplore.ieee.org/abstract/document/9669929">An Efficient Backoff Procedure for IEEE 802.11 ax Uplink OFDMA-Based Random Access</a>," IEEE Access, vol. 10, pp. 8855–8863, 2022.</li> <li>Reinforcement Learning OBO (RL-OBO) -- proposed in K. Kosek-Szott, S. Szott and F. Dressler, "<a href="https://ieeexplore.ieee.org/document/9946841">Improving IEEE 802.11ax UORA Performance: Comparison of Reinforcement Learning and Heuristic Approaches</a>", IEEE Access, DOI 10.1109/ACCESS.2022.3221423, 2022.</li> </ul> <p>The latter paper was supported in part by the National Science Centre, Poland, under Grant 2020/39/I/ST7/01457; and in part by the German Research Foundation under Grant DFG DR 639/28-1.</p>