US 12,355,599 B2
Converged radio unit configured for semantic-less retransmissions
Colin Fumito Funai, Lincolnwood, IL (US); and Syed Ali Naqvi, Bel Air, MD (US)
Assigned to RTX BBN TECHNOLOGIES, INC., Cambridge, MA (US)
Filed by Raytheon BBN Technologies Corp., Cambridge, MA (US)
Filed on Jan. 3, 2023, as Appl. No. 18/092,691.
Application 18/092,691 is a continuation in part of application No. 17/537,775, filed on Nov. 30, 2021, granted, now 11,889,311.
Claims priority of provisional application 63/127,398, filed on Dec. 18, 2020.
Prior Publication US 2023/0143144 A1, May 11, 2023
Int. Cl. H04L 27/00 (2006.01); H04W 12/79 (2021.01)
CPC H04L 27/0014 (2013.01) [H04W 12/79 (2021.01); H04L 2027/0095 (2013.01)] 20 Claims
OG exemplary drawing
 
1. 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),
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.