Granted Patent B2

US 12,615,555 · App. 18/565,995 · Granted Apr 28, 2026

Inventors: Jian Xu (Seoul, KR); Daewook Byun (Seoul, KR); Seokjung Kim (Seoul, KR)

Assignee: LG Electronics Inc.

H04W28/24H04L12/12H04L41/16H04L41/5067H04L51/58H04W24/08H04W36/247

Abstract

Claims (26)

1 . A method, comprising,

transmitting, by a radio access network node to a wireless device, a message including information related to a quality of experience configuration,

wherein the information related to a quality of experience configuration includes at least one quality of experience parameter,

wherein the at least one quality of experience parameter includes at least one of i) corruption duration, ii) jitter duration, iii) round-trip time, iv) re-buffering duration, v) initial buffering duration, vi) content access or switch time, vii) average throughput, viii) buffer level, ix) play list, and/or x) playout delay;

receiving, by the radio access network node from the wireless device, a quality of experience report,

wherein the quality of experience report includes measurement results related to the at least one quality of experience parameter;

training, by the radio access network node, an artificial intelligence model based on the measurement results related to the at least one quality of experience parameter;

deriving, by the radio access network node, at least one predicted value corresponding to the at least one quality of experience parameter; and

adjusting, by the radio access network node, resource allocation related to the wireless device using a specific slice by offloading the wireless device to a secondary radio access network node, based on the at least one predicted value.

2 . The method of claim 1 , wherein the quality of experience report further includes one or more predicted values related to at least one quality of experience parameter,

wherein the one or more predicted values are generated by an artificial intelligence function of the wireless device.

3 . The method of claim 1 , wherein (1) the corruption duration, (2) the jitter duration, and (3) round-trip time are parameters for Multimedia Telephony Service for IP Multimedia Subsystem (IMS) (MTSI) service.

4 . The method of claim 1 , wherein (1) the corruption duration, (2) the jitter duration, (4) the re-buffering duration, (5) the initial buffering duration, and (6) the content access/switch time are parameters for Multimedia Broadcast/Multicast Service (MBMS) service.

5 . The method of claim 1 , wherein (7) the average throughput, (8) the buffer level, (9) the play list, and (10) playout delay are parameters for Dynamic Adaptive Streaming over Hypertext Transfer Protocol (HTTP) (DASH) service and/or Virtual Reality (VR) service.

6 . The method of claim 1 , wherein the wireless device is in communication with at least one of a user equipment, a network, or an autonomous vehicle other than the wireless device.

7 . A radio access network node comprising:

a memory; and

at least one processor operatively coupled to the memory, and configured to perform operations, wherein the operations comprising:

transmitting, to a wireless device, a quality of experience configuration including information related to at least one quality of experience parameter,

wherein at least one quality of experience parameter includes at least one of i) corruption duration, ii) jitter duration, iii) round-trip time, iv) re-buffering duration, v) initial buffering duration, vi) content access or switch time, vii) average throughput, viii) buffer level, ix) play list, and/or x) playout delay;

receiving, from the wireless device, a quality of experience report including measurement results related to the at least one quality of experience parameter;

training an artificial intelligence model based on the information related to the at least one quality of experience parameter;

deriving at least one predicted value corresponding to the at least one quality of experience parameter based on the trained artificial intelligence model; and

adjusting resource allocation related to the wireless device using a specific slice by offloading the wireless device to a secondary random access network node, based on the at least one predicted value.

8 . The RAN node of claim 7 , wherein the quality of experience report further includes one or more predicted values related to at least one quality of experience parameter,

wherein the one or more predicted values are generated by an artificial intelligence function of the wireless device.

Assignments (1)

Priority Claims (1)

Continuity (1)

References Cited (10)