US 12,452,146 B2
Supporting multiple application function sessions with required group quality of service (QoS) provided by machine learning model provider application function
Meghashree Dattatri Kedalagudde, Portland, OR (US); Puneet Jain, Portand, OR (US); Thomas Luetzenkirchen, Taufkirchen (DE); Abhijeet Kolekar, Portland, OR (US); Ching-Yu Liao, Portland, OR (US); and Alexandre Saso Stojanovski, Paris (FR)
Assigned to Intel Corporation, Santa Clara, CA (US)
Filed by Intel Corporation, Santa Clara, CA (US)
Filed on Jan. 27, 2023, as Appl. No. 18/160,714.
Claims priority of provisional application 63/303,853, filed on Jan. 27, 2022.
Prior Publication US 2023/0171168 A1, Jun. 1, 2023
Int. Cl. H04L 12/00 (2006.01); H04L 41/50 (2022.01); H04W 72/543 (2023.01)
CPC H04L 41/5058 (2013.01) [H04W 72/543 (2023.01)] 20 Claims
OG exemplary drawing
 
1. One or more non-transitory computer-readable media (NTCRM) comprising instructions that, when executed by one or more processors of an electronic device, are to cause a network exposure function (NEF) of a cellular network to:
identify, from an application function (AF) that implements a machine learning (ML) model, a request related to reservation of resources for a plurality of AF sessions, wherein the plurality of AF sessions relate to respective user equipments (UEs) of a plurality of UEs, and wherein the request includes an indication of addresses of respective UEs of the plurality of UEs and a quality of service (QoS) parameter;
transmit, to a binding support function (BSF) of the cellular network, a discovery request related to discovery of respective policy control functions (PCFs) that are serving the respective UEs of the plurality of UEs;
identify, based on the discovery request, a discovery response that includes indications of the PCFs;
identify, based on the indications of the PCFs and the QoS parameter, a result related to the reservation of resources; and
transmit, to the AF, an indication of the result.