System and method for the ultra-precise analysis and characterization of RF propagation dynamics in wireless communication networks

• US 20070010207A1
• Filed: 07/05/2005
• Published: 01/11/2007
• Est. Priority Date: 07/05/2005
• Status: Abandoned Application

• Current Assignee: John Dooley
• Original Assignee: John Dooley
• Inventors: Dooley, John
• Application Number:
  US11/174,817
• Publication Number:
  US 20070010207A1
• Time in Patent Office: Days
• US Class Current: 455/67.110
• CPC Class Codes: H04B 17/26 using historical data, averaging values or statistics
• CPC Class Codes: H04B 17/309 Measuring or estimating channel quality parameters
• CPC Class Codes: H04B 17/373 Predicting channel quality or other radio frequency [RF] parameters
• CPC Class Codes: H04B 17/391 Modelling the propagation channel
• CPC Class Codes: H04W 24/00 Supervisory, monitoring or testing arrangements

Abstract

The present invention relates to a system and method for the ultra-precise analysis and characterization of RF propagation dynamics in complex wireless communication networks. The invented system includes sub-systems for the collection of network specific performance and environmental data, the consolidation of said data into representative signature elements, and the organization of said signature elements into a relational matrix. Through the invented methodology, RF performance and environmental composition data are closely correlated in uniformly weighted signature elements. These signatures, arranged in a relational matrix, represent a multiplicity of propagation pattern extrema. Limited RF data is compiled and formed into fractional signature elements. Fuzzy logic based reconstructive techniques are used to integrate these fractional elements into the normal signature matrix, allowing rapidly gathered and severely abbreviated data to produce extremely detailed and accurate characterization of RF propagation in localized coverage zones.

Claims

1. A system and method for the characterization of RF propagation parameters in wireless communication networks comprising:

processing circuitry for the collection of RF environmental data;

processing circuitry for the filtering, normalization and weighting of said RF environmental data;

processing circuitry for the creation of RF environmental characterization signatures;

processing circuitry for the integration of said RF environmental characterization signatures into a matrix of RF environmental characterization signatures; and

an RF propagation medium from which said RF environmental data is collected for the purposes of characterization.

2. The processing method of claim 1, comprising the steps of:

collecting a diversity of RF environmental data;

applying filtration, normalization and weighting rules;

compiling filtered, normalized and weighted data into RF environmental characterization signatures; and

placing individual RF environmental signatures into a matrix of many other RF environmental signatures.

3. The processing system of claim 1, wherein said RF propagation medium is free space through which wireless signals are transmitted for the purposes of communication.

4. The processing system of claim 1, wherein said RF environmental data includes a diversity of sources to adequately characterize a coverage environment.

5. The processing system of claim 4, wherein said RF environmental data includes multi-spectral remote sensing imagery of the coverage environment.

6. The processing system of claim 4, wherein said RF environmental data includes signal quality data from handsets and base stations.

7. The processing system of claim 4, wherein said RF environmental data includes field component continuity measurements of the local environment.

8. The processing system of claim 1, wherein said filtering, normalization and weighting of RF environmental data is completed for the purposes of converting raw data into RF environmental characterization signatures.

9. The processing system of claim 8, wherein said filtering, normalization and weighting is controlled by both experimental and process defined rules.

10. The processing system of claim 1, wherein said RF environmental characterization signatures are created to define the propagation dynamics of a given wireless coverage region.

11. The processing system of claim 10, wherein said RF environmental characterization signatures are constructed so as to be compatible with one another for the purposes of comparison.

12. The processing system of claim 1, wherein said RF environmental characterization signatures are integrated into a matrix of other RF environmental signatures representing a broad diversity of RF environmental characteristic extrema.

13. A system and method for the rapid characterization of RF propagation parameters in wireless communications networks comprising:

processing circuitry for the abbreviated collection of RF environmental data;

processing circuitry for the filtering, normalization and weighting of said fractional RF environmental data;

processing circuitry for the creation of a fractional RF environmental characterization signature;

processing circuitry for the comparison of said fractional signature to complete RF environmental characterization signatures in the signature matrix; and

processing circuitry for the reconstruction of said fractional signature into a complete RF environmental characterization signature.

14. The processing method of claim 13, comprising the steps of:

collecting severely abbreviated RF environmental data;

applying filtering, normalization and weighting rules to the abbreviated data;

generating a fractional RF environmental characterization signature from the abbreviated data;

determining the relative position of the fractional RF environmental characterization signature among the continuum of RF environmental types contained within the signature matrix; and

using the comparison of the fraction signature to complete RF environmental characterization signatures for the purposes of reconstructing said fractional signature.

15. The processing system of claim 13, wherein said abbreviated RF environmental data is the minimum amount required to create a viable fractional RF environmental characterization signature.

16. The processing system of claim 13, wherein said abbreviated RF environmental data is derived from remote sensing.

17. The processing system of claim 13, wherein said fractional RF environmental characterization signature is compatible with complete RF environmental characterization signatures for the purposes of comparative analysis.

18. The processing system of claim 13, wherein said reconstruction of said fractional signature is accomplished through the use of fuzzy logic processes.

19. A system and method for the prediction of RF propagation parameters in wireless communication networks comprising:

processing circuitry for the collection of limited RF environmental data;

processing circuitry for the correlation of limited RF environmental data with existing RF environmental characterization signatures;

processing circuitry for the projection of localized RF propagation parameters using RF environmental characterization signatures; and

processing circuitry for the correction of errors and the refinement of both characterization and prediction accuracy.

20. The processing method of claim 19, comprising the steps of:

collecting limited RF environmental data;

correlating said RF environmental data with complete RF environmental characterization signatures already contained within the signature matrix;

using relevant RF environmental characterization signatures to create predictive projections of RF dynamics in localized coverage environments; and

deploying a series of error detection, correction and refinement techniques for the purposes of improving the accuracy of said projections.

21. The processing system of claim 19, wherein said RF environmental data is collected for the purposes of correlating the propagation dynamics of a local environment with those contained in existing RF environmental characterization signatures.

22. The processing system of claim 19, wherein said projection of localized RF propagation parameters include two and three-dimensional graphic representations of signal attributes within a given geographic region.

23. The processing system of claim 19, wherein said error detection, correction and refinement techniques are used to locate and direct the improvement of raw RF environmental data contained within RF environmental classification signatures.

24. The processing system of claim 19, wherein said error detection, correction and refinement techniques are used to evaluate and direct the reconfiguration of the filtration, normalization and weighting rules applied to raw RF environmental data contained within RF environmental classification signatures.