IP Library Granted Patent US 12713279
Granted Patent B2
US 12713279 · App. 17/880,888 · Granted Aug 18, 2026

5G air interface-based traffic classification for extended reality (XR)

Inventor: Thomas Novlan (Jonestown, TX)
Assignee: AT&T Intellectual Property I, L.P.
H04W28/0252H04L67/131
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Quick Facts
Patent No.
US 12713279
App. No.
17/880,888
Granted
Aug 18, 2026
Kind
B2
Abstract

Aspects of the subject disclosure may include, for example, systems and methods for enabling traffic classification for extended reality (XR) applications over 5G NR networks. XR-specific traffic flow are adaptively classified with RAN-level characteristics including resource allocation, link adaptation, and radio resource management (RRM) metrics and configurations to optimize per-user and system performance and QoS parameters. Other embodiments are disclosed.

Claims (40)

1 . A device, comprising:

a processing system including a processor; and

a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:

receiving extended reality (XR) traffic characteristic (TC) information from a radio access network (RAN) node, wherein the XR TC information is received in an unquantized format per link adaptation feedback message or per radio resource management event;

mapping the XR TC information to a bearer and a traffic flow of the RAN node, wherein the mapping includes associating the XR TC information with an index to a preconfigured mapping table, wherein the index is associated with a bearer identifier of the bearer corresponding to the traffic flow; and

responsive to the mapping, performing link adaptation of the bearer and the traffic flow, wherein the link adaptation comprises adjusting a channel quality indicator (CQI), rank indicator, a precoding matrix indicator (PMI), or a combination thereof.

2 . The device of claim 1 , wherein the operations further comprise:

providing the mapping to an XR application server; and

receiving a response from the XR application server; and

modifying at least one RAN parameter based on the XR TC information and on the response from the XR application server.

3 . The device of claim 1 , wherein the XR TC information comprises resource grant allocation statistics.

4 . The device of claim 1 , wherein the XR TC information comprises scheduler metrics.

5 . The device of claim 1 , wherein the XR TC information comprises link adaptation parameters of a group of traffic flows.

6 . The device of claim 1 , wherein the XR TC information comprises radio resource management parameters of a group of traffic flows.

7 . The device of claim 1 , wherein the XR TC information comprises location information related to a user.

8 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:

receiving extended reality (XR) traffic characteristic (TC) information from a radio access network (RAN) node, wherein the XR TC information is received in an unquantized format per resource allocation grant, per link adaptation feedback message, or per radio resource management event;

mapping the XR TC information to a user and a traffic flow of the RAN node, wherein the mapping includes associating the XR TC information with an index to a preconfigured mapping table, wherein the index is associated with a bearer identifier of the bearer corresponding to the traffic flow;

responsive to the mapping, performing link adaptation of the user er and the traffic flow, wherein the link adaptation comprises adjusting a block error rate (BLER) target, modulation and coding scheme (MCS), beam management parameter, or combination thereof; and

modifying at least one RAN parameter based on the XR TC information.

9 . The non-transitory machine-readable medium of claim 8 , wherein the operations further comprise:

providing the mapping to an XR application server; and

receiving a response from the XR application server, wherein the modifying the at least one RAN parameter is further based on the response from the XR application server.

10 . The non-transitory machine-readable medium of claim 8 , wherein the XR TC information comprises resource grant allocation statistics.

11 . The non-transitory machine-readable medium of claim 8 , wherein the XR TC information comprises scheduler metrics.

12 . The non-transitory machine-readable medium of claim 8 , wherein the XR TC information comprises link adaptation parameters of a group of traffic flows.

13 . The non-transitory machine-readable medium of claim 8 , wherein the XR TC information comprises radio resource management parameters of a group of traffic flows.

14 . The non-transitory machine-readable medium of claim 8 , wherein the XR TC information comprises location information related to the user.

15 . A method, comprising:

obtaining, by a processing system including a processor, extended reality (XR) traffic characteristic (TC) information from a radio access network (RAN) node, wherein the XR TC information is obtained in an unquantized format per resource allocation grant, per link adaptation feedback message, or per radio resource management event;

mapping, by the processing system, the XR TC information to a user and traffic flow of the RAN node, wherein the mapping includes associating the XR TC information with an index to a preconfigured mapping table, wherein the index is associated with a bearer identifier corresponding to the traffic flow; and

responsive to the mapping, performing link adaptation of the user and the traffic flow of the RAN node, wherein the link adaptation comprises adjusting hybrid automatic repeat request (HARQ) feedback according to the HARQ feedback and adjusting a channel state information (CSI) reporting configuration according to the CSI feedback; and

modifying, by the processing system, at least one RAN parameter based on the XR TC information.

16 . The method of claim 15 , further comprising:

providing, by the processing system, the mapping to an XR application server; and

receiving, by the processing system, a response from the XR application server, wherein the modifying the at least one RAN parameter is further based on the response from the XR application server.

17 . The method of claim 15 , wherein the XR TC information comprises resource grant allocation statistics.

18 . The method of claim 15 , wherein the XR TC information comprises scheduler metrics.

19 . The method of claim 15 , wherein the XR TC information comprises link adaptation parameters of a group of traffic flows.

20 . The method of claim 15 , wherein the XR TC information comprises radio resource management parameters of a group of traffic flows.