Method, apparatus and system for rendering an information bearing function of time

• US 10,278,131 B2
• Filed: 01/08/2017
• Issued: 04/30/2019
• Est. Priority Date: 09/17/2013
• Status: Active Grant

• Current Assignee: ParkerVision, Inc.
• Original Assignee: ParkerVision, Inc.
• Inventors: Rawlins, Gregory S.
• Primary Examiner(s): Dsouza, Adolf
• Application Number:
  US15/401,064
• Publication Number:
  US 20170118716A1
• Time in Patent Office: 842 Days
• Field of Search: None
• CPC Class Codes: H04W 52/0209 in terminal devices terminal devices per se H04W88/02
• CPC Class Codes: H04W 52/0261 managing power supply demand, e.g. depending on battery level
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

An embodiment of the present invention is directed to a method for partitioning an energy or power source. The energy source may be, for example, a battery or batteries or other power supply or power supplies for an electronic device, such as a cell phone, or mobile device. The energy source (battery for example), or power supply, provides power to a cell phone, or mobile device or any other load or power consuming device. Partitioning this energy source is a technique for controlling its operation so that power is provided to the power consuming device, such as a cell phone more efficiently, thereby extending the length of time the phone can be used between re-charging.

Claims

1. A method for partitioning an energy source or power source comprising:

identifying one or more energy sources or power sources, each energy source or power source having one or more corresponding waveform sample regions;

identifying one or more associated waveform statistics that are associated with the one or more energy sources or power sources; and

partitioning at least one of the energy sources or power sources into one or more partitions,

wherein the number of partitions and the one or more associated waveform statistics are a function of a desired resolution for an information bearing function of time with a desired efficiency.

2. The method as claimed in claim 1, wherein the number of partitions is based on statistics of a desired information bearing function of time.

3. The method as claimed in claim 1, wherein the information bearing function of time is a signal.

4. The method as claimed in claim 3, wherein the signal is a modulated carrier signal.

5. The method as claimed in claim 3, wherein the signal includes information.

6. The method as claimed in claim 3, wherein the signal has an entropy value from zero to a maximum value, wherein the maximum value depends on one or more degrees of freedom.

7. The method as claimed in claim 6, wherein the degrees of freedom may be manipulated by changing an impedance or impedances.

8. The method as claimed in claim 6, wherein degrees of freedom may be manipulated by changing a rate or rates of charge.

10. The method as claimed in claim 1, further comprising:

optimizing the desired efficiency,

wherein the optimizing step is based on instantaneous efficiency ň and

/or average waveform efficiency η

_WF-.

11. The method as claimed in claim 1, wherein the function of the desired resolution is:

i≤

2^k where;

i=number of partitions; and

k=desired resolution for rendering the information bearing function of time.

12. The method as claimed in claim 1, further comprising:

determining one or more rendering parameters of a particular partition based on one or more auxiliary degrees of freedom.

13. The method as claimed in claim 12, wherein the rendering parameters include one or more of a function of amplitude, function of phase or function of frequency, or a combination thereof.

14. The method as claimed in claim 1, wherein the energy source or power source delivers energy or power via an energy differential or power differential.

15. The method as claimed in claim 1, further comprising:

deriving an energy source or power source differential from a voltage, a current, an electromagnetic field, differential voltage, differential current, or differential electromagnetic field or any combination thereof.

16. The method as claimed in claim 1, further comprising:

utilizing a plurality of energy sources or power sources in the partitioning step.

17. The method as claimed in claim 1, wherein each of the one or more energy sources or power sources includes a plurality of domains.

18. The method as claimed in claim 1, wherein the energy source or power source is either a fixed energy/power source or a variable energy/power source.

19. The method as claimed in claim 1, further comprising:

defining a voltage domain as a function of v_ξ

−

v<sub>ξ

-1</sub>=Δ

v_i where ξ

is a suitable integer.

20. The method as claimed in claim 19, wherein the voltage domain is fixed.

21. The method as claimed in claim 19, wherein the voltage domain is adjustable over a range of Δ

v_i, or a multiplicity thereof.

22. The method as claimed in claim 1, further comprising:

constructing a complex signal envelope based on at least a portion of apriori system information.

23. The method as claimed in claim 22, further comprising:

parsing at least a portion of the system information to form one or more than one H_v,i(x) domains.

24. The method as claimed in claim 23, further comprising adjusting a quantity v_i —

based on H_v,i(x) formula where v is an index for supplemental blended controls for one or more degrees of freedom.

25. The method as claimed in claim 24, further comprising generating a blended control function ℑ

{H(x)_v,i} where v=1,2,3 . . . , using {H_v,i(x)}, domains, where l=1,2,3 . . . .

26. The method as claimed in claim 23, further comprising:

processing H(x) using a plurality of parallel paths.

27. The method as claimed in claim 25, wherein the blended control function includes at least partial cross-correlations with related domains and/or between differing control paths.

28. The method as claimed in claim 25, wherein the blended control function is independent of cross-correlation with related domains and/or between differing control paths.

29. The method as claimed in claim 1, further comprising:

determining one or more cross-correlations between portions of domains, or functions of domains;

generating one or more blended controls based on the determining step.

30. The method as claimed in claim 29, further comprising:

approximating a statistical dependence for the cross-correlations; and

creating a composite statistic from the blended controls.

31. The method of claim 1, further comprising:

establishing one or more processing paths associated with the partitioning step.

32. The method as claimed in claim 31, further comprising utilizing a parameter to align and/or coordinate the processing paths.

33. The method as claimed in claim 32, wherein the parameter is independent of the energy source or power source.

34. The method as claimed in claim 32, wherein the parameter is partially dependent on the energy source or power source.

35. The method as claimed in claim 1, further comprising:

switching the energy source or power source at a rate less than a sampling rate.

36. The method as claimed in claim 1, further comprising:

switching the energy source or power source at a rate less than or equal to Nyquist rate.

37. The method as claimed in claim 1, further comprising:

establishing one or more sampling rates related to domains; and

utilizing one or more of the sampling rates in the partitioning step.

38. The method as claimed in claim 1, further comprising:

establishing one or more domain bandwidths, each of the one or more domain bandwidths being less than or equal to a rendering bandwidth.

39. The method as claimed in claim 1, further comprising:

utilizing one or more FLUTTER™

blended control paths to manipulate the partitions.

40. The method as claimed in claim 1, further comprising:

coordinating at least two partition paths based on one or more parameters of the information bearing function of time.

41. The method as claimed in claim 40, wherein the one or more parameters of the information bearing function of time include:

a function of phase, and/or a function of amplitude.

42. The method as claimed in claim 1, further comprising:

utilizing the one or more partitions based on an operational state of one or more energy sources and/or power sources.

43. The method as claimed in claim 1, further comprising:

utilizing an apriori characterization of a system response in the partitioning step.

44. The method as claimed in claim 1, further comprising:

utilizing an apriori characterization to control an operational state of at least one of the energy sources and/or power sources.

45. The method as claimed in claim 1, further comprising:

accessing an apriori characterization prior to the partitioning step.

46. The method as claimed in claim 1, further comprising:

coordinating one or more FLUTTER′

blended control parameters.

47. The method as claimed in claim 46, wherein the one or more FLUTTER™

blended control parameters depend on statistics, ranges, domains, logic functions and/or metrics.

48. The method as claimed in claim 46, wherein the coordinating is a function of one or more transmitter parameters, interface circuits impedances, waveform statistics, data rate or rates, channel frequency or frequencies.

49. The method as claimed in claim 1, wherein one or more of the partitions are randomly allocated.

50. The method as claimed in claim 1, wherein one or more of the energy partitions are allocated to transition between constellation points at substantially common radii.

51. The method as claimed in claim 1, wherein one or more partitions are allocated based on a radial difference of an average of a particular space or related metric.

52. The method as claimed in claim 1, further comprising:

imparting information to one or more information domains ℑ

{H(c)_vi} from one or more sources to interface to an RF signal modulation architecture.

53. The method as claimed in claim 1, further comprising:

modifying an operational state of a power supply and/or energy source during partitioning.

54. The method as claimed in claim 1, further comprising:

switching between two or more power supplies during partitioning.

55. The method as claimed in claim 1, further comprising:

operating a partition at a rate or bandwidth that is lower than a rendered signal rate or bandwidth.

56. The method as claimed in claim 1, wherein one or more partitions are allocated based on efficiency of operation.

57. The method as claimed in claim 1, further comprising:

sampling partitions at an average rate lower than the Nyquist rate.

58. The method as claimed in claim 1, wherein the partition is determined from one or more of energy, amplitude, or phase, statistic or a mixture thereof.

64. The method as claimed in claim 1, wherein the number of partitions equals 3.

65. The method as claimed in claim 1, wherein the number of partitions is between three and six.

66. The method as claimed in claim 1, wherein the number of partitions varies based on a power source/energy source impedance.

9. The method as claimed in 1, wherein m the number of inputs and n the number of outputs may be any independent integer values greater than or equal to 1.

59. The method as claimed in 1, wherein the information bearing function of time is formed from suitable transformation of differential entropy surfaces and information input H(x).

60. The method claimed in 59, wherein the differential entropy surfaces are formed with points, lines, line segments, splines, manifolds, patches, partial planes, sub surfaces, and facets in any combination.

61. The method as claimed in 1, wherein the information bearing function of time is formed from suitable transformation of differential entropy volumes and information input H(x).

62. The method as claimed in 59, wherein the differential entropy surfaces are derived from data in multiple dimensions and domains.

63. The method as claimed in 61, wherein the entropy volumes are derived from data in multiple dimensions and domains.

67. A method for rendering a representation of an information bearing function of time comprising:

utilizing one or more energy sources or power sources;

partitioning at least one of the one or more energy sources or power sources as a function of a domain or domains to generate signals; and

allocating the signals to render the representation of the information bearing function of time, such that the allocation causes an operational state of at least one of the one or more energy sources or power sources to change.

68. The method as claimed in claim 67, further comprising:

iteratively processing a blending function for allocating the signals, using at least one iteration.

69. The method as claimed in claim 67, wherein the representation of the information bearing function of time is a waveform.

70. The method as claimed in claim 69, wherein the waveform is based on a stimulus function.

71. The method as claimed in claim 70, wherein the stimulus function is determined based on expected signal statistics.

72. The method in claim 67, wherein the allocating step further comprises:

minimizing the partitions of the partitioning step.

73. The method as claimed in claim 67, wherein the partitioning step produces three partitions.

74. The method as claimed in claim 67, wherein the partitioning step produces between four and six partitions.