Proactive increase of bearer quality of service (QoS) in response to prediction that UE will experience reducted-throughput coverage while receiving streaming media

Patent metadata

Field	Value
Publication number	US-12133115-B1
Application number	US-202217820350-A
Country	US
Kind code	B1
Filing date	Aug 17, 2022
Priority date	Jun 15, 2020
Publication date	Oct 29, 2024
Grant date	Oct 29, 2024

Abstract

A method and system for proactively reconfiguring communication to a user equipment device (UE) in anticipation the UE experiencing a coverage-throughput reduction when the UE is receiving streaming media. An example method includes (i) predicting, when the UE is receiving streaming media, that the UE is going to experience the coverage-throughput reduction and (ii) based at least in part on the predicting, proactively increasing a quality-of-service (QOS) level of a bearer through which the UE is receiving the streaming media, the proactively increasing occurring before the UE experiences the coverage-throughput reduction so that the QoS level is increased by when the UE experiences the coverage-throughput reduction.

First claim

We claim:

1. A method for proactively reconfiguring communication to a user equipment device (UE) in anticipation the UE experiencing a coverage-throughput reduction when the UE is receiving streaming media, the method comprising:
predicting, when the UE is receiving streaming media, that the UE is going to experience the coverage-throughput reduction, wherein predicting that the UE is going to experience the coverage-throughput reduction comprises predicting that the UE will transition from being served with first coverage having a first frequency bandwidth to being served instead with second coverage having a second frequency bandwidth narrower than the first frequency bandwidth; and
based at least in part on the predicting, proactively increasing a quality-of-service (QOS) level of a bearer through which the UE is receiving the streaming media, wherein the proactively increasing occurs before the UE experiences the coverage-throughput reduction so that the QoS level is increased by when the UE experiences the coverage-throughput reduction,
wherein proactively increasing the QoS level of the bearer through which the UE is receiving the streaming media comprises modifying a QoS parameter of the bearer to increase air-interface scheduling priority of the streaming media on the bearer such that a volume of data flowing on the bearer is increased.

2. The method of claim 1 , wherein predicting that the UE is going to experience the coverage-throughput reduction is based on the first coverage supporting up to a first throughput and the second coverage supporting up to just a second throughput that is lower than the first throughput.

3. The method of claim 1 , wherein the UE transitioning from being served with first coverage having a first frequency bandwidth to being served instead with second coverage having a second frequency bandwidth narrower than the first frequency bandwidth involves the UE transitioning from being served with dual-connectivity to being served instead with standalone connectivity.

4. The method of claim 3 , wherein the dual-connectivity is EUTRA-NR Dual Connectivity (EN-DC) in which the UE has concurrent connections on 4G Long Term Evolution (4G LTE) and 5G New Radio (5G NR), and wherein the standalone connectivity is standalone 4G LTE connectivity in which the UE has just a 4G LTE connection or standalone 5G NR connectivity in which the UE has just a 5G NR connection.

5. The method of claim 1 , wherein predicting, when the UE is receiving streaming media, that the UE is going to experience the coverage-throughput reduction comprises:
determining that the UE is engaged in a streaming media session in which the UE is receiving streaming media; and
determining that the UE is going to experience the coverage-throughput reduction.

6. The method of claim 1 , wherein proactively increasing the QoS level of the bearer through which the UE is receiving the streaming media comprises engaging in signaling to trigger a QoS modification of the bearer.

7. The method of claim 1 , wherein the bearer has a QoS Class Identifier (QCI) with a first associated QoS level, and wherein proactively increasing the QoS level of the bearer comprises changing the QCI of the bearer to a second QCI with a second associated QoS level higher than the first associated QoS level.

8. The method of claim 1 , wherein the increasing of the QoS level is temporary but lasts until at least after the UE has experienced the coverage-throughput reduction.

9. A computing system configured to proactively reconfigure communication to a user equipment device (UE) in anticipation the UE experiencing a coverage-throughput reduction when the UE is receiving streaming media, the computing system comprising:
at least one network communication interface; at least one processing unit;
at least one non-transitory data storage; and
program instructions stored in the at least one non-transitory data storage and executable by the at least one processing unit to carry out operations including:
predicting, when the UE is receiving streaming media, that the UE is going to experience the coverage-throughput reduction, wherein predicting that the UE is going to experience the coverage-throughput reduction comprises predicting that the UE will transition from being served with first coverage having a first frequency bandwidth to being served instead with second coverage having a second frequency bandwidth narrower than the first frequency bandwidth, and
based at least in part on the predicting, proactively increasing a quality-of-service (QOS) level of a bearer through which the UE is receiving the streaming media, wherein the proactively increasing occurs before the UE experiences the coverage-throughput reduction so that the QoS level is increased by when the UE experiences the coverage-throughput reduction,
wherein proactively increasing the QoS level of the bearer through which the UE is receiving the streaming media comprises modifying a QoS parameter of the bearer to increase air-interface scheduling priority of the streaming media on the bearer such that a volume of data flowing on the bearer is increased.

10. The computing system of claim 9 , wherein predicting that the UE is going to experience the coverage-throughput reduction is based on the first coverage supporting up to a first throughput and the second coverage supporting up to just a second throughput that is lower than the first throughput.

11. The computing system of claim 9 , wherein the UE transitioning from being served with first coverage having a first frequency bandwidth to being served instead with second coverage having a second frequency bandwidth narrower than the first frequency bandwidth involves the UE transitioning from being served with dual-connectivity to being served instead with standalone connectivity.

12. The computing system of claim 11 , wherein the dual-connectivity is EUTRA-NR Dual Connectivity (EN-DC) in which the UE has concurrent connections on 4G Long Term Evolution (4G LTE) and 5G New Radio (5G NR), and wherein the standalone connectivity is standalone 4G LTE connectivity in which the UE has just a 4G LTE connection or standalone 5G NR connectivity in which the UE has just a 5G NR connection.

13. The computing system of claim 9 , wherein predicting, when the UE is receiving streaming media, that the UE is going to experience the coverage-throughput reduction comprises:
determining that the UE is engaged in a streaming media session in which the UE is receiving streaming media; and
determining that the UE is going to experience the coverage-throughput reduction.

14. The computing system of claim 9 , wherein proactively increasing the QoS level of the bearer through which the UE is receiving the streaming media comprises engaging in signaling through a network communication interface, of the at least one network communication interface, to trigger a QoS modification of the bearer.

15. The computing system of claim 9 , wherein the bearer has a QoS Class Identifier (QCI) with a first associated QoS level, and wherein proactively increasing the QoS level of the bearer comprises changing the QCI of the bearer to a second QCI with a second associated QoS level higher than the first associated QoS level.

16. The computing system of claim 9 , wherein the increasing of the QoS level is temporary but lasts until at least after the UE has experienced the coverage-throughput reduction.

17. At least one non-transitory computer-readable medium embodying program instructions executable by at least one processing unit to carry out operation

Assignees

• T Mobile Usa Inc
• Sprint Spectrum Llc

Inventors

• Pawar Hemanth B
• Sitaram Krishna
• Srinivas Shilpa K

Classifications

• H04W28/0257

  the individual bearer or channel having a maximum bit rate or a bit rate guarantee · CPC title

• H04W28/0268

  using specific QoS parameters for wireless networks, e.g. QoS class identifier [QCI] or guaranteed bit rate [GBR] (negotiating SLA or negotiating QoS H04W28/24) · CPC title

• H04W28/24

  Negotiating SLA [Service Level Agreement]; Negotiating QoS [Quality of Service] · CPC title

• H04W76/16

  Involving different core network technologies, e.g. a packet-switched [PS] bearer in combination with a circuit-switched [CS] bearer · CPC title

• H04W28/0967 Primary

  Quality of Service [QoS] parameters · CPC title