| CPC H04B 17/3913 (2015.01) [H04B 17/3912 (2015.01)] | 20 Claims |
|
1. An apparatus comprising: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to perform:
receiving a first structure map comprising spatial points representing a structure of an environment and feature vectors descriptive of the points;
receiving at least a first radio frequency, RF, map for respective at least one RF signal source, the first RF map comprising spatial points representing locations of the environment where measurements of RF signals from a respective RF signal source are performed, the first RF map further comprising feature vectors descriptive of the RF measurements;
creating using a first structure edge connecting rule a first structure graph, whose nodes represent the points of the first structure map, the nodes being associated with state vectors obtained using the feature vectors of the points of the first structure map;
creating using a first RF edge connecting rule, for the first RF map, a first RF graph, the first RF graph having nodes representing the points of the respective first RF map, wherein the nodes of the first RF graph are associated with state vectors obtained using the feature vectors of the first RF map;
creating a first input graph from the first structure graph and the first RF graph by using a second edge connecting rule;
updating state vectors of the nodes of the first input graph, the updating of the state vector being performed using state vectors of intra-graph neighborhood nodes of the respective node and inter-graph neighborhood nodes of the node;
creating an output graph whose nodes represent target spatial points of the environment, the nodes of the output graph being associated with state vectors;
connecting the output graph with at least the first input graph using an output edge connecting rule, wherein the first input graph comprises the nodes with the updated state vectors;
updating the state vectors of the output graph, the updating of the state vector being performed using state vectors of intra-graph neighborhood nodes of the respective node and inter-graph neighborhood nodes of the node;
inputting the state vectors of the output graph to a trained machine learning model to obtain a prediction of a signal propagation characteristic at the target points.
|