Method and system for construction of radio environment model

• US 8,131,312 B2
• Filed: 08/02/2010
• Issued: 03/06/2012
• Est. Priority Date: 05/24/2010
• Status: Active Grant

• Current Assignee: Cyberbit Ltd.
• Original Assignee: Nice Systems Limited (Nice Ltd)
• Inventors: Levin, Moshe, Freedman, Avraham
• Primary Examiner(s): DOAN, PHUOC HUU
• Application Number:
  US12/848,572
• Publication Number:
  US 20110287801A1
• Time in Patent Office: 582 Days
• Field of Search: 455/517, 455/456.2, 455/67.11, 370/254, 370/328, 370/401, 342/174, 342/125
• US Class Current: 455/517
• CPC Class Codes: H04B 17/27 for locating or positioning the transmitter
• CPC Class Codes: H04B 17/318 Received signal strength
• 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: H04B 17/3913 Predictive models, e.g. based on neural network models

Abstract

A system and method for constructing a signal propagation model in a wireless communication system such as a cellular system based on at least one received wireless signal correlated to a geographic location.

Claims

1. A method of constructing a map of a physical environment for radio signal propagation comprising:

determining a wireless signal propagation model;

receiving at a receiver unit a wireless communication signal from a transmitter unit;

storing a strength of said received wireless communication signal and associated locations of said receiver unit and said transmitter unit;

modifying said wireless signal propagation model based at least on said stored strength of said wireless communication signal and said associated locations of said receiver unit and said transmitter unit;

constructing a map comprising locations of one or more obstacles based on said modified wireless signal propagation model.

2. The method of claim 1, further comprising using said modified wireless signal propagation model and said map of locations of obstacles to predict wireless signal strengths of a wireless communication signal received from a mobile wireless communication device.

3. The method of claim 1, wherein said first receiver unit is a mobile communication device.

4. The method of claim 1, further comprising repeating said receiving and storing stages for a plurality of wireless communication signals and a respective plurality of locations.

5. The method of claim 4, wherein said strengths of said wireless communication signals and said associated locations of said receiver units are stored in a database.

6. The method of claim 1, wherein said map includes heights of said obstacles.

7. The method of claim 1, wherein constructing said map comprises constructing said map by a combination of one or more methods selected from the group consisting of:

an analysis by profile method, a gradient search method, a genetic algorithm method, and a building replacement method.

8. The method of claim 1, wherein said wireless signal propagation model is selected from the group consisting of:

a single knife-edge model, a multiple knife-edge model, a single wedge model, a rounded obstacle model, a diffraction inclusive model, a model inclusive of effects of vegetation on RF signal propagation, and a ray tracing model.

9. The method of claim 1, wherein said wireless signal propagation model is subject to regression analysis for calibration.

10. The method of claim 1, wherein constructing said map is further based on information from a preexisting map.

11. The method of claim 1, wherein said receiver unit is a mobile wireless communication device and said transmitter unit is a base station in communication therewith.

12. The method of claim 1, wherein said transmitter unit is a mobile wireless communication device and said receiver unit is a base station in communication therewith.

13. The method of claim 1, further comprising:

receiving at the transmitter unit a second wireless communication signal from the receiver unit;

storing a second strength of said second received wireless communication signal and associated locations of said receiver unit and said transmitter unit;

modifying said wireless signal propagation model based at least on said stored second strength of said wireless communication signal and said associated locations of said receiver unit and said transmitter unit, wherein said map further comprises locations of one or more obstacles based on said modified wireless signal propagation model.

14. A system for constructing a map of a physical environment for radio signal propagation comprising:

a transmitter;

a receiver comprising;

a receiver unit to receive wireless communication signals from the transmitter, a measurement unit to measure received signal strengths of received wireless communication signals, and a storage to store said received signal strength measurements and associated locations of signal reception;

a memory to store a wireless signal propagation model;

a processor to;

modify said wireless signal propagation model based at least on said stored received signal strength measurements and said associated locations of signal reception, and to construct a map comprising locations of one or more obstacles based on said modified wireless signal propagation model.

15. The system of claim 14, wherein said processor is further to predict wireless signal strengths of a wireless communication signal received from a mobile wireless communication device, said prediction using said modified wireless signal propagation model and said map of locations of obstacles.

16. The system of claim 14, wherein said receiver unit is to receive a plurality of wireless communication signals, and wherein said measurement unit is to measure received signal strengths of said respective received wireless communication signals, and wherein said processor is to modify said wireless signal propagation model based on said plurality of signal strength measurements and said associated locations of signal reception.

17. The system of claim 14, wherein said processor is to construct said map using one or more methods selected from the group consisting of:

an analysis by profile method, a gradient search method, a genetic algorithm method, and a building replacement method.

18. The system of claim 14, wherein said wireless signal propagation model is selected from the group consisting of:

a single knife-edge model, a multiple knife-edge model, a single wedge model, a rounded obstacle model, a diffraction inclusive model, a model inclusive of effects of vegetation on RF signal propagation, and a ray tracing model.

19. The system of claim 14, wherein said processor is further to construct said map based on information from a preexisting map.

20. The system of claim 14, wherein said receiver is a mobile wireless communication device and said transmitter is a base station in communication therewith.

21. The system of claim 14, wherein said transmitter is a mobile wireless communication device and said receiver is a base station in communication therewith.

22. The system of claim 14,

wherein said receiver further comprises a second transmitter unit;

wherein said transmitter further comprises a second receiver unit to receive second wireless communication signals from the receiver, a measurement unit to measure received signal strengths of second received wireless communication signals, and a second storage to store said second received signal strength measurements and associated locations of signal reception, and

said processor to;

modify said wireless signal propagation model based at least on said stored second received signal strength measurements and said associated locations of signal reception, and to construct said map based on said modified wireless signal propagation model.