Pathloss prediction using a machine learning component

A network node for wireless communication, comprising:

• one or more memories;
• and
• one or more processors, coupled to the one or more memories, configured to cause the network node to:
• obtain position information associated with a set of network node positions, wherein the position information is associated with a map associated with a wireless coverage area, the position information indicating a set of distance values associated with a set of user equipment (UE) positions and the set of network node positions;
• obtain map information associated with the map, the map information indicating a set of links, wherein a link of the set of links includes a UE position of the set of UE positions and a network node position of the set of network node positions;
• obtain, using a machine learning component, a plurality of predicted pathloss values, wherein the machine learning component receives, as input, at least part of the position information and at least part of the map information, and wherein the machine learning component outputs the plurality of predicted pathloss values;
• and
• perform a communication task associated with the wireless coverage area based on the plurality of predicted pathloss values.