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3 results for “IEEE 802.11ax”

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zenodo44/100

[ITU AI/ML Challenge 2021] Dataset IEEE 802.11ax Spatial Reuse

<p>This dataset has been created for the problem statement ITU-ML5G-PS-004 of the ITU AI/ML Challenge (2021 edition). More information can be found here:&nbsp;<a href="https://challenge.aiforgood.itu.int/">https://challenge.aiforgood.itu.int/</a>&nbsp;and&nbsp;<a href="https://www.upf.edu/web/wnrg/2021-edition">https://www.upf.edu/web/wnrg/2021-edition</a>.&nbsp;</p> <p>The dataset contains the information of 3.000 IEEE 802.11ax deployments (divided into two different scenarios) at which the Basic Service Set (BSS) of interest applies different possible OBSS/PD thresholds in the context of the Spatial Reuse (SR) operation. In total, 21 OBSS/PD values are considered for each deployment, and some of the deployments include data from different STA locations. The provided files are expected to be used for training Machine Learning (ML) and&nbsp;Federated Learning (FL) algorithms.</p> <p>More specifically, the dataset is divided as follows:</p> <ul> <li><strong>Scenario 1:</strong> 1,000 different deployments with 2-6 APs and 1 STA per AP. A minimum distance limitation&nbsp;is applied, so that each AP different from AP_A is located at a minimum distance of 10 meters from that one. Each deployment is simulated for each of the 21 possible OBSS/PD thresholds in 11ax. Two files are considered: <ol> <li><a href="https://zenodo.org/api/files/a153e748-7ff5-419d-a7a0-ab7d962d9ccb/output_11ax_sr_simulations_sce1.txt">output_11ax_sr_simulations_sce1.txt</a>: contains the output generated by the simulator for the deployments in Scenario 1.</li> <li><a href="https://zenodo.org/api/files/a153e748-7ff5-419d-a7a0-ab7d962d9ccb/simulator_input_files_sce1.zip">simulator_input_files_sce1.zip</a>: contains the input files used by the simulator to simulate the deployments in Scenario 1.</li> </ol> </li> <li><strong>Scenario 2: </strong>1,000 different deployments&nbsp;with 2-6 APs and 1-4 STAs per AP. No distance limitation&nbsp;is applied. Each deployment is simulated for each of the 21 possible OBSS/PD thresholds in 11ax. Two files are considered: <ol> <li><a href="https://zenodo.org/api/files/a153e748-7ff5-419d-a7a0-ab7d962d9ccb/output_11ax_sr_simulations_sce2.txt">output_11ax_sr_simulations_sce2.txt</a>: contains the output generated by the simulator for the deployments in Scenario 2.</li> <li><a href="https://zenodo.org/api/files/a153e748-7ff5-419d-a7a0-ab7d962d9ccb/simulator_input_files_sce2.zip">simulator_input_files_sce2.zip</a>: contains the input files used by the simulator to simulate the deployments in Scenario 2.</li> </ol> </li> <li><strong>Scenario 3: </strong>1,000 different deployments&nbsp;with 2-6 APs and 1-4 STAs per AP. No distance limitation&nbsp;is applied. Each deployment is simulated for each of the 21 possible OBSS/PD thresholds in 11ax, and for up to 20 different locations of different STAs of the BSS of interest (&quot;BSS_A&quot;). Two files are considered: <ol> <li><a href="https://zenodo.org/api/files/8057ea42-dd8c-4a02-9fe2-0e3bde8b3db0/output_11ax_sr_simulations_sce3.txt">output_11ax_sr_simulations_sce3.txt</a>: contains the output generated by the simulator for the deployments in Scenario 3.</li> <li><a href="https://zenodo.org/api/files/8057ea42-dd8c-4a02-9fe2-0e3bde8b3db0/simulator_input_files_sce3.zip">simulator_input_files_sce3.zip</a>: contains the input files used by the simulator to simulate the deployments in Scenario 3.</li> </ol> </li> <li><strong>Test:</strong> 1,000 different deployments with 2-6 APs and 1-4 STAs per AP. No distance limitation is applied. A random OBSS/PD threshold is applied. Two files are considered: <ol> <li><a href="https://zenodo.org/api/files/22d1265c-0dea-4bf8-a223-e61c45deb076/output_11ax_sr_simulations_test.txt?versionId=91ccbe70-a821-4601-8db7-1763883dc984">output_11ax_sr_simulations_test.txt</a>: contains the output generated by the simulator for the evaluation deployments. The label (throughput) has been replaced with &quot;0s&quot;.</li> <li><a href="https://zenodo.org/api/files/8057ea42-dd8c-4a02-9fe2-0e3bde8b3db0/simulator_input_files_test.zip?versionId=b1581c0b-419c-422b-bb2d-4dbf77f05dd2">simulator_input_files_test.zip</a>: contains the input files used by the simulator to simulate the evaluation deployments.</li> </ol> </li> </ul>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Inputs and outputs of conference article "On the Performance of the Spatial Reuse Operation in IEEE 802.11ax WLANs"

<p>This dataset contains both the inputs and the outputs from the conference article&nbsp;&quot;On the Performance of the Spatial Reuse Operation in IEEE 802.11ax WLANs&quot;, authored by Francesc Wilhelmi, Sergio Barrachina and Boris Bellalta. The article has been sent to CSCN 2019.</p> <p>Regarding the input, we provide both the &quot;input_node&quot; and &quot;input_system&quot; files used by the Komondor simulator. In particular, up to&nbsp;50,400 different scenarios are provided, which stand for 3 maps sizes 50 different random deployments (i.e., nodes allocation), 21&nbsp;OBSS/PD values, and 16 traffic loads. More details are provided in the article.&nbsp;</p> <p>The output files collect the results gathered for all the scenarios. In addition, we include the code files used to &quot;post-process&quot; all the results.</p> <p>Contact information: francisco.wilhelmi@upf.edu</p>

opencc-by-4.0Dec 2018View details →
zenodo32/100

Dataset of the journal article "Spatial Reuse in IEEE 802.11ax WLANs"

<p>This dataset contains both the inputs and the outputs from the conference article&nbsp;&quot;Spatial Reuse in IEEE 802.11ax WLANs&quot;, authored by Francesc Wilhelmi, Sergio Barrachina, Cristina Cano, Ioannis Selinis and&nbsp;Boris Bellalta. The article has been sent to IEEE Surveys &amp; Tutorials.</p> <p>Regarding the Komondor&#39;s input, we provide the files used in the Komondor simulator, as well as the execution scripts,&nbsp;for generating the results presented in the paper. We find &quot;toy&quot; and &quot;random&quot; scenarios, which cover different parts of the paper. In the random case, we have 39,800 different scenarios, which correspond to 4 network densities, 3 strategies on applying SR, 3 traffic loads, 50 deployments, and 21 different OBSS/PD values. More details are provided in the article.&nbsp;</p> <p>Apart from the Komondor&#39;s input, we also provide other Matlab files used in the context of the SFCTMN analytical model (refer to&nbsp;<a href="https://github.com/sergiobarra/SFCTMN/releases/tag/v1.0_11ax_SR">https://github.com/sergiobarra/SFCTMN/releases/tag/v1.0_11ax_SR</a>).&nbsp;</p> <p>Contact information: francisco.wilhelmi@upf.edu</p>

opencc-by-4.0Jul 2019View details →

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