AIML positioning receiver for flexible carrier aggregation

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:
• receive a plurality of signal samples, wherein at least two of the signal samples are received on different carrier frequencies, or wherein at least two of the signal samples are received over different durations;
• convert the plurality of signal samples to a common data format that stores as entries the plurality of signal samples, a stored entry corresponding to a signal sample measured with a carrier frequency, a time, and a receive antenna;
• generate entries of the common data format that are missing due to a signal sample not being measured with a carrier frequency, time, and receive antenna;
• wherein the entries of the common data format are ranked, wherein a higher ranking entry is considered more relevant than a relatively lower ranking entry;
• and
• generate at least one positioning measurement with a machine learning model, based on the entries of the common data format and the ranking of the entries of the common data format.