METHOD AND SYSTEM FOR PROVIDING DASH OPTIMIZATION FOR MOBILE DEVICES

• US 20150106312A1
• Filed: 10/10/2013
• Published: 04/16/2015
• Est. Priority Date: 10/10/2013
• Status: Active Grant

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Inventors: CHEN, Ming, ZHANG, Lei
• Granted Patent: US 9,736,651 B2
• Time in Patent Office: Days
• US Class Current: 706/21
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• 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 80/06 Transport layer protocols, e.g. TCP [Transport Control Protocol] over wireless transmission control protocol/Internet protocol [TCP/IP] or user datagram protocol [UDP] H04L69/16

Abstract

An approach is provided for location-based TCP throughput predictions and carrier-assisted video rate adaptation, including predicting a future location of a user device based on one or more location parameters associated with the device, a user of the device, or a combination thereof, predicting a transmission control protocol (TCP) throughput for at least one segment of a multimedia file based on the future location of the device, and transmitting the at least one segment based on the predicted TCP throughput.

Claims

1. A method comprising:

predicting a future location of a user device based on one or more location parameters associated with the device, a user of the device, or a combination thereof;

predicting a transmission control protocol (TCP) throughput for at least one segment of a multimedia file based on the future location of the device; and

transmitting the at least one segment based on the predicted TCP throughput.

2. A method of claim 1, further comprising:

determining a theoretical TCP throughput at the future location;

determining a signal strength adjustment parameter at the future location; and

determining a carrier feedback adjustment parameter at the future location,

wherein the predicted TCP throughput is based on a combination of the theoretical TCP throughput, the signal strength adjustment parameter, and the carrier feedback adjustment parameter.

3. A method of claim 2, further comprising:

determining a distance of the device from a wireless fidelity router, a cellular tower, or a combination thereof,

wherein the signal strength adjustment parameter is based on the distance.

4. A method of claim 2, further comprising:

determining a traffic volume and a collective performance benchmark from at least one carrier,

wherein the carrier feedback adjustment parameter is based on the traffic volume and the collective performance benchmark.

5. A method of claim 1, further comprising:

determining one or more network types, an available bandwidth, a signal strength, or a combination thereof at the future location based on information from at least one map service,

wherein the predicted TCP throughput is further based on the one or more network types, the available bandwidth, the signal strength, or a combination thereof at the future location.

6. A method of claim 1, wherein the predicted future location and TCP throughput are based on one or more intervals of time.

7. A method of claim 6, further comprising:

determining an amount of time for downloading the at least one segment; and

determining a location sampling interval,

wherein the predicted future location based at the one or more intervals of time is further based on the amount of time for downloading the at least one segment and the location sampling interval.

8. A method of claim 1, wherein the one or more location parameters include a current location of the device, a travel pattern and/or one or more speeds associated with the user, a daily routine associated with the user, one or more calendar entries associated with user, or a combination thereof.

9. A method of claim 1, further comprising:

determining an average throughput for downloading one or more segments; and

determining at least one other predicted TCP throughput based on a combination of the average throughput and the predicted TCP throughput,

wherein a weight given to the predicted TCP throughput is greater than another weight given to the average throughput.

10. A method of claim 1, further comprising:

determining one or more changes in the available bandwidth from a network provider, wherein the transmission of the at least one segment is further based on the one or more changes.

11. An apparatus comprising a processor configured to:

predict a future location of a user device based on one or more location parameters associated with the device, a user of the device, or a combination thereof;

predict a transmission control protocol (TCP) throughput for at least one segment of a multimedia file based on the future location of the device; and

transmit the at least one segment based on the predicted TCP throughput.

12. An apparatus of claim 11, wherein the apparatus is further configured to:

determine a theoretical TCP throughput at the future location;

determine a signal strength adjustment parameter at the future location; and

determine a carrier feedback adjustment parameter at the future location,

wherein the predicted TCP throughput is based on a combination of the theoretical TCP throughput, the signal strength adjustment parameter, and the carrier feedback adjustment parameter.

13. An apparatus of claim 12, wherein the apparatus is further configured to:

determine a distance of the device from a wireless fidelity router, a cellular tower, or a combination thereof,

wherein the signal strength adjustment parameter is based on the distance.

14. An apparatus of claim 12, wherein the apparatus is further configured to:

determine a traffic volume and a collective performance benchmark from at least one carrier,

wherein the carrier feedback adjustment parameter is based on the traffic volume and the collective performance benchmark.

15. An apparatus of claim 11, wherein the apparatus is further configured to:

determine one or more network types, an available bandwidth, a signal strength, or a combination thereof at the future location based on information from at least one map service,

wherein the predicted TCP throughput is further based on the one or more network types, the available bandwidth, the signal strength, or a combination thereof at the future location.

16. An apparatus of claim 11, wherein the predicted future location and TCP throughput are based on one or more intervals of time.

17. An apparatus of claim 11, wherein the apparatus is further configured to:

determine an amount of time for downloading the at least one segment; and

determine a location sampling interval,

wherein the predicted future location based at the one or more intervals of time is further based on the amount of time for downloading the at least one segment and the location sampling interval.

18. An apparatus of claim 17, wherein the one or more location parameters include a current location of the device, a travel pattern and/or one or more speeds associated with the user, a daily routine associated with the user, one or more calendar entries associated with user, or a combination thereof.

19. An apparatus of claim 11, wherein the apparatus is further configured to:

determine an average throughput for downloading one or more segments; and

determine at least one other predicted TCP throughput based on a combination of the average throughput and the predicted TCP throughput,

wherein a weight given to the predicted TCP throughput is greater than another weight given to the average throughput.

20. An apparatus of claim 19, wherein the apparatus is further configured to:

determine one or more changes in the available bandwidth from a network provider, wherein the transmission of the at least one segment is further based on the one or more changes.