Method for transmitting semantic data and device for same in wireless communication system

A transmitting end transmitting semantic data in a semantic wireless communication system, the transmitting end comprising:

• a transmitter configured to transmit a radio signal;
• a receiver configured to receive the radio signal;
• at least one processor;
• and
• at least one computer memory operably connectable to the at least one processor,
• wherein the at least one computer memory is configured to store instructions performing operations based on being executed by the at least one processor,
• wherein the operations comprise:
• transmitting, to a receiving end, (i) a distance rule for determining a distance between the semantic data determined based on a similarity between the semantic data and (ii) a mapping rule for generating a global semantic space for learning a semantic neural network,
• wherein the mapping rule is defined so that a difference value between (i) the distance between the semantic data determined based on the distance rule and (ii) a distance between locations on the global semantic space to which the semantic data is mapped is minimized for all the semantic data, and a distribution of the locations on the global semantic space to which the semantic data is mapped satisfies a required transmission power limitation condition;
• generating the global semantic space based on the distance rule and the mapping rule,
• wherein the global semantic space includes the semantic data mapped to satisfy the mapping rule;
• learning the semantic neural network based on a neural network supervised learning for (i) the generated global semantic space and (ii) a semantic space of a semantic encoder neural network constituting the semantic neural network;
• and
• transmitting, to the receiving end, the semantic data based on the learned semantic neural network.

A method of receiving, by a receiving end, semantic data in a semantic wireless communication system, the method comprising:

• receiving, from a transmitting end, (i) a distance rule for determining a distance between the semantic data determined based on a similarity between the semantic data and (ii) a mapping rule for generating a global semantic space for learning a semantic neural network,
• wherein the mapping rule is defined so that a difference value between (i) the distance between the semantic data determined based on the distance rule and (ii) a distance between locations on the global semantic space to which the semantic data is mapped is minimized for all the semantic data, and a distribution of the locations on the global semantic space to which the semantic data is mapped satisfies a required transmission power limitation condition;
• learning the semantic neural network based on a neural network supervised learning for (i) the global semantic space that is generated by the transmitting end based on the distance rule and the mapping rule and includes the semantic data mapped to satisfy the mapping rule and (ii) a semantic space of a semantic encoder neural network constituting the semantic neural network;
• and
• receiving, from the transmitting end, the semantic data based on the learned semantic neural network.