Generating training examples for a machine learning based receiver

A method performed by a network node for producing training data, the method comprising:

• receiving a signal transmitted by a user equipment (UE), wherein the signal was modulated using a training sequence (TS) generated by the UE;
• producing a feature based on the received signal;
• obtaining the TS that was used to modulate the signal;
• and
• generating a training example comprising the feature and a label, wherein the label comprises the generated TS.

A user equipment (UE) configured to generate training data, the UE being operative to:

• receive a signal transmitted by a network node, wherein the signal was modulated using a training sequence (TS);
• produce a feature based on the received signal;
• generate the TS that was used to modulate the signal, wherein the generating comprises using a pseudo-random sequence generator (pRSG) to generate the TS;
• and
• generate a training example comprising the feature and a label, wherein the label comprises the generated TS.

A network node, the network node, being operative to:

• receive a signal transmitted by a user equipment (UE), wherein the signal was modulated using a training sequence (TS) generated by the UE;
• produce a feature based on the received signal;
• obtain the TS that was used to modulate the signal;
• and
• generate a training example comprising the feature and a label, wherein the label comprises the generated TS.