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Document Title: Modeling of uncertainty and ConfidenceDocument Date: July 30, 2014Document No: 5-14-0060-00-subs

Author’s Name Affiliation Address Phone email

Jesse Caulfield Key Bridge Global LLC

McLean, VA 713 414 3500 jesse.caulfield@keybridgeglobal.com

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IEEE 1900.5 Contribution

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In this presentation

• Suggestions for the representation of uncertainty and confidence concepts in 1900.5.2 Schema

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Possible 1900.5.2 Schema inputs

• Abstract data type containing statistical attributes• Not implemented directly, but rather extended by other types• Statistical “confidence” attributes are inherited y implementation• Meaning is contextual; e.g. location, time, power distribution, etc.

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ParametersAttribute Type / UoM DescriptionconfidenceCumulative Boolean • TRUE indicates that, in a series of elements of the same type, those having a

confidenceValue are more likely to occur than those with a lower value

• FALSE indicates that, in a series of elements of the same type, the confidenceValue of each is atomic and belongs only to the individual record

confidenceDerivation EDerivation An enumerated attribute describing how the value was determined. Allowed values are:

•ESTIMATE: The value is the modeler's judgment or best estimate.

•CALCULATE: The value was determined through a theoretical analysis.

•MEASURE: The value was determined through a statistically appropriate method of measuring the phenomenon

confidencePersistent Boolean •TRUE indicates that the measured value is persistent or steady state.

•FALSE indicates that the measured value is fleeting.

Phenomena that move to a state with some probability and then stay there are persistent; those that move freely from state to state, spending some fraction of their time in one state or another, are fleeting.

confidenceMaxDwellTime Double / Second If the value is fleeting then the maximum duration of a given event. The value is specified as a decimal (Double) and supports fractional seconds.

confidenceValue Double / Ratio An upper value on the probability of what is being modeled. Confidence values are a ratio range between zero and one (0 £ x £ 1) where zero means the event will never occur and 1 means there is a 100% probability the event will occur.

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Example: ScmLocation (extends AScmConfidenceType)

• Identifies where a system may be used• Specified as one of four types:

– Point, Path, Area, Volume

• A modeled radio may be anywhere within the location (e.g. at a point, along a path, within a region or volume)

• An ScmSystem and ScmTransmitter give two locations

• The ScmTransmitter location "confidence" identifies its positional probability within an outer boundary defined by the ScmSystem location.

• E.g. The device is probably here P% of the time, anywhere else 100% minus P%, and never strays outside the system boundary.

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NotesMany Spectrum Consumption Model data types associate a statistical probability with the value they represent. For example, a location data type may identify a geographic position, the modify that geographic position with a statistical probability that the transmitter will be at or near that position. SCM statistical probabilities are modeled as a set of attributes within an abstract AScmConfidenceType.

AScmConfidenceType attributes all begin with a “confidence” prefix. This abstract data type is not used directly but is instead extended by other data type implementations that require a statistical association with the value they represent.

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Questions

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Document Title: IEEE-1900.5-ppt JMC 051514Document Date: May 15, 2014Document No: 5-14-00xx-00-subs

Author’s Name Affiliation Address Phone email

Jesse Caulfield Key Bridge Global LLC

McLean, VA 713 414 3500 jesse.caulfield@keybridgeglobal.com