SYSTEMS AND METHODS FOR OPTIMIZING MEDIA CONTENT DELIVERY BASED ON USER EQUIPMENT DETERMINED RESOURCE METRICS

• US 20110047287A1
• Filed: 04/19/2010
• Published: 02/24/2011
• Est. Priority Date: 08/19/2009
• Status: Active Grant

• Current Assignee: Opanga Networks, Inc.
• Original Assignee: Opanga Networks, Inc.
• Inventors: Gibbons, David B., Harrang, Jeffrey Paul
• Granted Patent: US 8,463,933 B2
• Time in Patent Office: Days
• US Class Current: 709/235
• CPC Class Codes: H04L 41/083 for increasing network speed
• CPC Class Codes: H04L 43/0888 Throughput
• CPC Class Codes: H04L 45/00 Routing or path finding of packets in data switching networks routing or path finding in wireless networks H04W40/00
• CPC Class Codes: H04L 45/123 Evaluation of link metrics techniques for monitoring network metrics H04L43/08
• CPC Class Codes: H04L 45/124 using a combination of metrics
• CPC Class Codes: H04L 47/10 Flow control; Congestion control
• CPC Class Codes: H04L 47/11 Identifying congestion
• CPC Class Codes: H04L 47/24 Traffic characterised by specific attributes, e.g. priority or QoS
• CPC Class Codes: H04W 28/22 Negotiating communication rate
• CPC Class Codes: H04W 4/18 Information format or content conversion, e.g. adaptation by the network of the transmitted or received information for the purpose of wireless delivery to users or terminals
• CPC Class Codes: H04W 8/04 Registration at HLR or HSS [Home Subscriber Server]

Abstract

A user equipment for optimizing a media content delivery based on a state of resident resources. The user equipment may include a memory component having a resource manager application stored therein, one or more processor components, a resident power source, and a transceiver. The resource manager is configured to determine one or more device resource metrics, compare the device resources metric(s) to one or more corresponding device resource thresholds(s), and then generate an instruction to throttle a media content delivery when it is determined that at least one resource metric has exceeded a resource threshold value or that a local policy metric has achieved a local policy threshold.

Claims

1. A user equipment for optimizing a media content delivery, comprising:

at least one memory having a resource manager stored therein;

at least one processor;

a resident power source; and

a transceiver;

wherein the resource manager is configured to;

determine one or more device metrics;

compare the one or more device metrics to one or more device thresholds; and

generate an instruction to throttle a media content delivery when it is determined that at least one resource metric has exceeded a resource threshold value or that a local policy metric has achieved a local policy threshold.

2. The user equipment of claim 1, wherein the at least one resource metric is a power supply metric of the resident power source or a processing resource metric of the at least one processor.

3. The user equipment of claim 1, wherein the local policy metric is a current geographic location of the user equipment and the local policy threshold is a provider preferred geographic area threshold.

4. The user equipment of claim 2, wherein the resource manager determines that the resource threshold value has been exceeded when the power supply metric is less than a remaining power supply threshold value or when the processing resource metric is greater than a processor usage threshold value.

5. The user equipment of claim 1, wherein the generated instruction is processed by the at least one processor to set an optimal data transfer rate for the media content delivery.

6. The user equipment of claim 1, wherein the generated instruction is transmitted to an external computing device that determines an optimal data transfer rate for the media content delivery based on the received instruction.

7. A computer-readable medium encoded with computer-executable instructions for optimizing a media content delivery to a user equipment, which when executed, perform a method comprising:

determining one or more user equipment metrics;

comparing the one or more user equipment metrics to one or more device thresholds; and

generating an instruction to throttle a media content delivery when at least one resource metric has exceeded a resource threshold value or a local policy metric has achieved a local policy threshold.

8. The computer-readable medium of claim 7, wherein the at least one resource metric is a power supply metric or a processing resource metric.

9. The computer-readable medium of claim 7, wherein the local policy metric is a current geographic location of the user equipment and the local policy threshold is a provider preferred geographic area threshold.

10. The computer-readable medium of claim 8, wherein the method further comprises determining that the resource threshold value has been exceeded when the power supply metric is less than a remaining power supply threshold value or when the processing resource metric is greater than a processor usage threshold value.

11. The computer-readable medium of claim 7, wherein the method further comprises processing the generated instruction at the user equipment to set an optimal data transfer rate for the media content delivery.

12. The computer-readable medium of claim 7, wherein the method further comprises transmitting the generated instruction to an external computing device that determines an optimal data transfer rate for the media content delivery based on the received instruction.

13. A computer-implemented method for optimizing a media content delivery to a user equipment, the method comprising:

determining one or more user equipment metrics;

comparing the one or more user equipment metrics to one or more device thresholds; and

generating an instruction to throttle a media content delivery when at least one resource metric has exceeded a resource threshold value or a local policy metric has achieved a local policy threshold.

14. The computer-implemented method of claim 13, wherein the at least one resource metric is a power supply metric or a processing resource metric.

15. The computer-implemented method of claim 13, wherein the local policy metric is a current geographic location of the user equipment and the local policy threshold is a provider preferred geographic area threshold.

16. The computer-implemented method of claim 14, wherein the method further comprises determining that the resource threshold value has been exceeded when the power supply metric is less than a remaining power supply threshold value or when the processing resource metric is greater than a processor usage threshold value.

17. The computer-implemented method of claim 13, wherein the method further comprises processing the generated instruction at the user equipment to set an optimal data transfer rate for the media content delivery.

18. The computer-implemented method of claim 13, wherein the method further comprises transmitting the generated instruction to an external computing device that determines an optimal data transfer rate for the media content delivery based on the received instruction.

19. A computer-implemented method for optimizing a media content delivery to a user equipment, the method comprising:

initiating a media content delivery to a user equipment;

detecting a power down instruction at the user equipment; and

prompting a user to determine whether the user wishes to continue the media content delivery or proceed with powering down the user equipment.

20. The computer-implemented method of claim 19, wherein the method further comprises prompting the user of the user equipment to connect the user equipment to a power supply in response to receiving an instruction to continue the media content delivery.