US 12,283,976 B1
Software-defined cognitive networking for wireless communications
Cenk Köse, San Diego, CA (US); Louise Borrelli, San Diego, CA (US); Yong James Lee, San Diego, CA (US); and Mark Johnson, San Diego, CA (US)
Assigned to TrellisWare Technologies, Inc., San Diego, CA (US)
Filed by TrellisWare Technologies, Inc., San Diego, CA (US)
Filed on Sep. 12, 2022, as Appl. No. 17/942,848.
Claims priority of provisional application 63/242,991, filed on Sep. 10, 2021.
Int. Cl. H04B 1/40 (2015.01); H04B 1/00 (2006.01); H04B 1/10 (2006.01); H04W 24/02 (2009.01)
CPC H04B 1/0003 (2013.01) [H04B 1/10 (2013.01); H04W 24/02 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for a wireless communication, comprising:
performing, by a first node of a plurality of nodes, a plurality of network interference measurements to generate a first local interference model;
receiving, from a second node of the plurality of nodes, a second local interference model;
combining the first local interference model and the second local interference model to generate a joint interference model;
generating, based on the joint interference model, a plurality of interference parameters, wherein the plurality of interference parameters characterize a communication channel between the first node and the second node;
selecting, based on the plurality of interference parameters, an operating waveform from a plurality of waveforms such that a performance metric for a data communication between the first node to the second node exceeds a threshold; and
performing, using the operating waveform, the data communication.