US 11,706,632 B1
AiNO: an AI network operator
Thomas Sandholm, Mountain View, CA (US); Bernardo Huberman, Palo Alto, CA (US); Sayandev Mukherjee, Santa Clara, CA (US); and Luis Alberto Campos, Superior, CO (US)
Assigned to Cable Television Laboratories, Inc., Louisville, CO (US)
Filed by Cable Television Laboratories, Inc., Louisville, CO (US)
Filed on Jul. 21, 2021, as Appl. No. 17/382,162.
Claims priority of provisional application 63/054,338, filed on Jul. 21, 2020.
Int. Cl. H04W 16/14 (2009.01); H04W 16/10 (2009.01); H04L 41/16 (2022.01); H04W 28/24 (2009.01); H04W 24/02 (2009.01); H04W 28/20 (2009.01)
CPC H04W 16/14 (2013.01) [H04L 41/16 (2013.01); H04W 16/10 (2013.01); H04W 24/02 (2013.01); H04W 28/20 (2013.01); H04W 28/24 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A non-transitory computer-readable medium having a plurality of non-transitory instructions executable with a processor for acquiring network resources, the plurality of non-transitory instructions being executable for:
receiving information about network resource rights being offered by a network-resource auctioneer;
(ii) determining which network resource right(s) to acquire from the network-resource auctioneer by predicting which network resource right(s) will optimize a reward function using a machine learning model trained on previously implemented network resource rights and associated quality of experience (QoE) metrics;
(iii) acquiring the network resource right(s); and
(iv) instructing a communication component to transmit or receive communication signals via a network resource associated with the network resource right(s).