Converged radio unit configured for semantic-less retransmissions

A non-transitory computer-readable storage medium that stores instructions for execution by processing circuitry of a converged radio unit (RU) configured for configured for semantic-less retransmissions, the converged RU comprising a radio-frequency machine learning (RFML) radio unit (RFML RU) and a radio-access network (RAN) radio unit (RU),

• wherein the RFML RU is configured to:
• receive an RF signal comprising a packet;
• decode a PHY layer preamble of the packet;
• and
• apply a machine-learning (ML) model to information obtained from the PHY layer preamble to classify the packet,
• wherein when the packet is classified be a tactical data link (TDL) packet based on the information obtained from the PHY layer preamble, the RFML RU is configured to retransmit the packet;
• and
• wherein when the packet is classified a RAN protocol packet based on the information obtained from the PHY layer preamble, the RFML RU is configured to signal the RAN RU to process the RAN protocol packet in accordance with a RAN protocol.

A method performed by processing circuitry of a converged radio unit (RU) configured for semantic-less retransmissions, the converged RU comprising a radio-frequency machine learning (RFML) radio unit (RFML RU) and a radio-access network (RAN) radio unit (RU), the method comprising:

• receiving an RF signal comprising a packet;
• decoding a PHY layer preamble of the packet;
• and
• applying a machine-learning (ML) model to information obtained from the PHY layer preamble to classify the packet,
• wherein when the packet is classified be a tactical data link (TDL) packet based on the information obtained from the PHY layer preamble, the method comprises retransmitting the packet;
• and
• wherein when the packet is classified a RAN protocol packet based on the information obtained from the PHY layer preamble, the method comprises signaling the RAN RU to process the RAN protocol packet in accordance with a RAN protocol.