Techniques for generating a composite color to represent values of a communication metric

• US 9,913,157 B1
• Filed: 09/07/2016
• Issued: 03/06/2018
• Est. Priority Date: 09/07/2016
• Status: Expired due to Fees

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Calzolari, Diego, Turakhia, Chintan Pravin
• Primary Examiner(s): Lai, Daniel
• Application Number:
  US15/258,716
• Publication Number:
  US 20180070251A1
• Time in Patent Office: 545 Days
• CPC Class Codes: H04L 41/16 using machine learning or artificial intelligence
• CPC Class Codes: H04L 43/045 for graphical visualisation of monitoring data
• CPC Class Codes: H04W 16/18 Network planning tools
• CPC Class Codes: H04W 24/02 Arrangements for optimising operational condition
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic
• CPC Class Codes: H04W 24/10 Scheduling measurement reports ; Arrangements for measurement reports
• CPC Class Codes: H04W 72/0446 Resources in time domain, e.g. slots or frames

Abstract

Aspects of the present disclosure generally relate to wireless communications. In some aspects, a device may receive information identifying a plurality of measurements of a communication metric related to a network at a plurality of time intervals. The device may determine a plurality of colors corresponding to a plurality of values of the communication metric. The plurality of values may correspond to the plurality of measurements of the communication metric at the plurality of time intervals. The device may combine the plurality of colors to generate a composite color for the communication metric.

Claims

1. A method, comprising:

receiving, by a device, information identifying a plurality of measurements of a communication metric related to a network at a plurality of time intervals;

determining, by the device, a plurality of colors corresponding to a plurality of values of the communication metric,

wherein each color, of the plurality of colors, is associated with a different time interval, of the plurality of time intervals, and

wherein the plurality of values correspond to the plurality of measurements of the communication metric at the plurality of time intervals; and

combining, by the device, the plurality of colors, associated with different time intervals, to generate a composite color for the communication metric.

2. The method of claim 1, further comprising:

providing information identifying the composite color for processing using a machine learning technique to train a model.

3. The method of claim 2, further comprising:

utilizing the model to identify a pattern associated with the communication metric.

4. The method of claim 1, wherein the communication metric is one of a plurality of communication metrics;

and

further comprising;

providing information identifying a plurality of composite colors for the plurality of communication metrics.

5. The method of claim 1, wherein the composite color is one of a plurality of composite colors associated with the communication metric,

each composite color, of the plurality of composite colors, to represent another plurality of time intervals at which the communication metric is measured;

and

further comprising;

providing information identifying the plurality of composite colors for the communication metric.

6. The method of claim 1, wherein the communication metric represents a metric associated with a modem of the network.

7. The method of claim 1, further comprising:

normalizing the plurality of values of the communication metric; and

wherein determining the plurality of colors comprises determining the plurality of colors based at least in part on normalizing the plurality of values of the communication metric.

8. The method of claim 1, wherein determining the plurality of colors comprises:

determining, for a first time interval of the plurality of time intervals, a first shade of a first color based at least in part on a first value of the plurality of values; and

determining, for a second time interval of the plurality of time intervals, a second shade of a second color based at least in part on a second value of the plurality of values,

the first color being different from the second color.

9. The method of claim 1, wherein the plurality of colors correspond to at least one of:

a red green blue (RGB) color model plurality of colors,

a cyan, magenta, yellow, key (CMYK) color model plurality of colors,

a Pantone model plurality of colors, or

a grayscale plurality of colors.

10. A device, comprising:

one or more processors to;

receive information identifying a plurality of measurements of a communication metric related to a network at a plurality of time intervals;

determine a plurality of colors corresponding to a plurality of values of the communication metric,

wherein each color, of the plurality of colors, is associated with a different time interval, of the plurality of time intervals, and

wherein the plurality of values correspond to the plurality of measurements of the communication metric at the plurality of time intervals; and

combine the plurality of colors, associated with different time intervals, to generate a composite color for the communication metric.

11. The device of claim 10, wherein the one or more processors are further to:

provide the information identifying the composite color for processing using a machine learning technique to train a model.

12. The device of claim 11, wherein the one or more processors are further to:

utilize the model to identify a pattern associated with the communication metric.

13. The device of claim 10, wherein the communication metric is one of a plurality of communication metrics;

and

wherein the one or more processors are further to;

provide information identifying a plurality of composite colors for the plurality of communication metrics.

14. The device of claim 10, wherein the composite color is one of a plurality of composite colors associated with the communication metric,

each composite color, of the plurality of composite colors, representing another plurality of time intervals at which the communication metric is measured;

and

wherein the one or more processors are further to;

provide information identifying the plurality of composite colors for the communication metric.

15. The device of claim 10, wherein the communication metric represents a metric associated with a modem of the network.

16. The device of claim 10, wherein the one or more processors are further to:

normalize the plurality of values of the communication metric; and

wherein the one or more processors, when determining the plurality of colors, are to determine the plurality of colors based at least in part on normalizing the plurality of values of the communication metric.

17. The device of claim 10, wherein the one or more processors, when determining the plurality of colors, are to:

determine, for a first time interval of the plurality of time intervals, a first shade of a first color based at least in part on a first value of the plurality of values; and

determine, for a second time interval of the plurality of time intervals, a second shade of a second color based at least in part on a second value of the plurality of values,

the first color being different from the second color.

18. The device of claim 10, wherein the plurality of colors correspond to at least one of:

a red green blue (RGB) color model plurality of colors,

a cyan, magenta, yellow, key (CMYK) color model plurality of colors,

a Pantone model plurality of colors, or

a grayscale plurality of colors.

19. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors of a device, cause the one or more processors to;

receive information identifying a plurality of measurements of a communication metric related to a network at a plurality of time intervals;

determine a plurality of colors corresponding to a plurality of values of the communication metric,

wherein each color, of the plurality of colors, is associated with a different time interval, of the plurality of time intervals, and

wherein the plurality of values correspond to the plurality of measurements of the communication metric at the plurality of time intervals; and

combine the plurality of colors, associated with different time intervals, to generate a composite color for the communication metric.

20. The non-transitory computer-readable medium of claim 19, wherein the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

provide the information identifying the composite color for processing using a machine learning technique to train a model.

21. The non-transitory computer-readable medium of claim 20, wherein the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

utilize the model to identify a pattern associated with the communication metric.

22. The non-transitory computer-readable medium of claim 19, wherein the communication metric is one of a plurality of communication metrics;

and

wherein the one or more instructions, when executed by the one or more processors, further cause the one or more processors to;

provide information identifying a plurality of composite colors for the plurality of communication metrics.

23. The non-transitory computer-readable medium of claim 19, wherein the composite color is one of a plurality of composite colors associated with the communication metric,

each composite color, of the plurality of composite colors, representing another plurality of time intervals at which the communication metric is measured;

and

wherein the one or more instructions, when executed by the one or more processors, further cause the one or more processors to;

provide information identifying the plurality of composite colors for the communication metric.

24. The non-transitory computer-readable medium of claim 19, wherein the communication metric represents a metric associated with a modem of the network.

25. The non-transitory computer-readable medium of claim 19, wherein the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

normalize the plurality of values of the communication metric; and

wherein the one or more instructions, that cause the one or more processors to determine the plurality of colors, cause the one or more processors to determine the plurality of colors based at least in part on normalizing the plurality of values of the communication metric.

26. The non-transitory computer-readable medium of claim 19, wherein the one or more instructions, that cause the one or more processors to determine the plurality of colors, cause the one or more processors to:

determine, for a first time interval of the plurality of time intervals, a first shade of a first color based at least in part on a first value of the plurality of values; and

determine, for a second time interval of the plurality of time intervals, a second shade of a second color based at least in part on a second value of the plurality of values,

the first color being different from the second color.

27. The non-transitory computer-readable medium of claim 19, wherein the plurality of colors correspond to at least one of:

a red green blue (RGB) color model plurality of colors,

a cyan, magenta, yellow, key (CMYK) color model plurality of colors,

a Pantone model plurality of colors, or

a grayscale plurality of colors.

28. An apparatus, comprising:

means for receiving information identifying a plurality of measurements of a communication metric related to a network at a plurality of time intervals;

means for determining a plurality of colors corresponding to a plurality of values of the communication metric,

wherein each color, of the plurality of colors, is associated with a different time interval, of the plurality of time intervals, and

wherein the plurality of values correspond to the plurality of measurements of the communication metric at the plurality of time intervals; and

means for combining the plurality of colors, associated with different time intervals, to generate a composite color for the communication metric.

29. The apparatus of claim 28, further comprising:

means for providing the information identifying the composite color for processing using a machine learning technique to train a model.

30. The apparatus of claim 29, further comprising:

means for utilizing the model to identify a pattern associated with the communication metric.