← Back to tutorial library

6G RESEARCH STUDIO · Examples & Tutorials

Near-field / XL-MIMO Baseline

Analyze near-field / XL-MIMO baseline data and the related plots.

Learn how to use 6G Research Studio for Near-field / XL-MIMO Baseline with real, manually matched screenshots. This tutorial covers setup, execution, result interpretation and practical checks.

What this tutorial covers

Analyze near-field / XL-MIMO baseline data and the related plots.

Before you start:You need access to the product and should ideally follow the tutorial using your own real parameters or data. The screenshots below were manually rematched to avoid the image/topic mismatches seen in the previous version.
Near-field / XL-MIMO Baseline - Open the relevant module and confirm the starting state.
Open the relevant module and confirm the starting state.
Near-field / XL-MIMO Baseline - Configure the key inputs that match the topic.
Configure the key inputs that match the topic.
Near-field / XL-MIMO Baseline - Run the workflow and inspect the result/status.
Run the workflow and inspect the result/status.

Step-by-step workflow

1Open the module

Open Near-field / XL-MIMO Baseline from Radio & Sensing. Confirm that the visible page really matches the tutorial topic before changing any settings.

2Configure the input

Prepare and check the imported channel/array data and baseline analysis parameters.

3Run and watch the status

Run the analysis and inspect the resulting curve/statistics. Watch the visible status, plot or log area while the workflow is running.

4Inspect the result

Pay special attention to near-field / XL-MIMO result views.

5Verify and iterate

Keep the same input dataset when comparing different setups. Change one meaningful parameter and rerun so you can verify whether the output changes in the expected direction.

How to read the result

  • The main output of this workflow is near-field / XL-MIMO result views.
  • Read the result together with the exact inputs used for the run; a screenshot alone rarely tells the whole story.
  • Keep the same input dataset when comparing different setups.

Troubleshooting & practical tips

  • If nothing changes, first confirm that the correct module is open.
  • If the output looks unrealistic, check units, field mapping and input scale first.
  • For comparisons, change one key parameter at a time whenever possible.