Finding RIS Target Points via K-means Clustering

This tutorial explains how to find a specific number of RIS target points by applying K-means clustering algorithm to the low-power cells in the transmitter-only coverage map.

Note

Before executing this step, make sure to first compute and visualize the transmitter-only coverage map. This is necessary to extract the coordinates of low-power cells. Please follow the Computing Transmitter-Only Coverage Map tutorial before proceeding.

Steps to Perform K-means Clustering:

  1. Set Number of Target Points

    In the GUI, go to the labelframe “Manual trials” on the left side. Enter the desired number of RIS target points in the field labeled “Number of target points”.

  2. Run Clustering Algorithm

    Click the button “Find the target point(s) via clustering algorithm”. This will apply K-means clustering on the low-power cells and determine the optimal RIS target points.

  3. View the Results

    After execution, a binary poor coverage map is displayed. The selected RIS target points will be marked with green ‘X’ symbols on the map. An example output is shown below. Also, the coordinates of the selected target points are demonstrated under the labelframe “Messages”.

../_images/finding_target_points_via_clustering_Fig1.png

Fig. 1: Binary poor coverage map with RIS target points marked as green ‘X’