US 12,323,212 B2
Systems and methods for proactive wireless communication rate adaptation
Krishna Kant Chintalapudi, Remond, WA (US); Hao Yin, Seattle, WA (US); Perry Victor Lea, Eagle, ID (US); Gopala Srihari Narlanka, Bellevue, WA (US); Stanley William Adermann, Redmond, WA (US); Joseph Michael Schaefer, Carnation, WA (US); and Ranveer Chandra, Kirkland, WA (US)
Assigned to Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on Apr. 15, 2022, as Appl. No. 17/721,952.
Prior Publication US 2023/0336228 A1, Oct. 19, 2023
Int. Cl. H04B 7/06 (2006.01); H04B 17/336 (2015.01); H04L 1/00 (2006.01); H04W 24/10 (2009.01); H04W 28/16 (2009.01); H04W 28/18 (2009.01); H04W 28/22 (2009.01); H04W 72/542 (2023.01)
CPC H04B 7/0632 (2013.01) [H04B 7/0626 (2013.01); H04B 17/336 (2015.01); H04L 1/0003 (2013.01); H04W 24/10 (2013.01); H04W 28/16 (2013.01); H04W 28/18 (2013.01); H04W 28/22 (2013.01); H04W 72/542 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
at a first electronic device:
transmitting a first downlink transmission from the first electronic device to a second electronic device;
receiving a first response from the second electronic device at the first electronic device, wherein the first response includes downlink channel quality information (CQI);
determining a per-subcarrier CQI based at least partially on the downlink CQI;
using a trained machine learning model to predict, based at least partially on the per-subcarrier CQI, packet success probabilities for two or more output modulation and coding schemes;
choosing a selected modulation and coding scheme from the two or more output modulation and coding schemes based at least partially on the predicted packet success probabilities;
and
setting the first electronic device to use the selected modulation and coding scheme.