WIRELESS COMMUNICATION SYSTEM MODELING

• US 20100323626A1
• Filed: 06/19/2009
• Published: 12/23/2010
• Est. Priority Date: 06/19/2009
• Status: Active Grant

• Current Assignee: Empire Technology Development LLC (Allied Inventors Management, LLC), Regents of the University of California (University of California)
• Original Assignee: Aristaeus Hermes LLC
• Inventors: POTKONJAK, Miodrag
• Granted Patent: US 8,682,254 B2
• Time in Patent Office: Days
• US Class Current: 455/67.11
• CPC Class Codes: H04B 17/3912 Simulation models, e.g. distribution of spectral power density or received signal strength indicator [RSSI] for a given geographic region

Abstract

Techniques are generally described related to modeling a wireless communication system that includes multiple communication connections. Example systems, apparatuses, methods and processes may include one or more of identifying a first parameter and a first operational characteristic of interest of a first one of the communication connections, activating the first one of the communication connections based on the first parameter, collecting data associated with the first parameter and the first operational characteristic of interest when the first one of the communication connections is active; applying a statistical technique to the collected data to establish a model, and validating the model.

Claims

1. A method for modeling communication connections in a multi-channel wireless communication system, comprising:

identifying a first parameter and a first operational characteristic of interest of a first one of the communication connections in the multi-channel wireless communication system, wherein the first parameter is associated with a configuration of the multi-channel wireless communication system, and wherein the first operational characteristic of interest is associated with the first parameter;

activating the first one of the communication connections based on the first parameter;

collecting data associated with the first parameter and the first operational characteristic of interest for the first one of the communication connections when active within a specified time period;

applying a statistical technique to the collected data to establish a model for characterizing a second one of the communication connections; and

validating the model to determine whether a difference between a prediction value of the first operational characteristic derived from the model and an actual value of the first operational characteristic is within a predetermined range of values.

2. The method of claim 1, wherein the first one of the communication connections and the second one of the communication connections are the same.

3. The method of claim 1, further comprising:

executing the model to generate an output; and

reconfiguring the multi-channel wireless communication system based on the output of the model.

4. The method of claim 2, wherein collecting is repeated in different time periods.

5. The method of claim 1, wherein the statistical technique includes a monotonic regression analysis.

6. The method of claim 1, wherein the statistical technique is data-driven.

7. The method of claim 1, further comprising:

identifying a second parameter and a second operational characteristic of interest of the first one of the communication connections in the multi-channel wireless communication system, wherein the second parameter is associated with the configuration of the multi-channel wireless communication system, and the first operational characteristic of interest and the second operational characteristic of interest are associated with one or both of the first parameter and the second parameter;

collecting data associated with the second parameter and the second operational characteristic of interest of the first one of the communication connections within the specified time period; and

applying a dimensional reduction technique to determine a combination of a first value for the first parameter and a second value for the second input parameter that yields a first desirable value for the first operational characteristic of interest and a second desirable value for the second operational characteristic of interest.

8. The method of claim 1, wherein validating further comprises using one or more of a test-and-sample technique, a re-substitution technique, or a constraint manipulation technique.

9. The method of claim 1, wherein the communication connections each corresponds to a communication link, a communication channel, or a combination of the communication link and the communication channel.

10. A computing device for characterizing communication connections in a multi-channel wireless communication system, comprising:

a memory; and

a processing unit arranged to interface with the memory, wherein the processing unit is configured to;

collect a limited set of data associated with a selected one of the communication connections in the multi-channel wireless communication system when the selected one of the communication connections is active;

store the limited set of data in the memory;

apply a dimensional reduction technique to the stored limited set of data to determine a combination of a first value for a first set of collected data and a second value for a second set of collected data that yields a first desirable value for a third set of collected data;

apply a first statistical technique to the combination and the third set of collected data to establish a first model; and

examine the first statistical technique to determine whether one or more types of statistical techniques have been applied.

11. The computing device of claim 10, wherein the first set of data and the second set of data includes one or more of antenna power, antenna orientation, antenna height, packet length, type of modulation, type and parameters of error correction code, or synchronization code.

12. The computing device of claim 10, wherein the third set of data includes one or more of noise properties, reception rate, distribution of reception rates over different time periods, stability of the reception rates for individual connections, correlations of reception rates of connections between different pairs of transmitters and receivers, or dependency of reception rates on single and combined input parameters.

13. The computing device of claim 10, wherein the processing unit is further configured to apply a second statistical technique to the combination and the third set of collected data to establish a second model.

14. The computing device of claim 13, wherein the processing unit is further configured to examine the first statistical technique and the second statistical technique to determine whether a number of statistical techniques applied exceeds a threshold value.

15. The computing device of claim 13, wherein the processing unit is further configured to combine the first model and the second model.

16. The computing device of claim 10, wherein the communication connections each corresponds to a communication link, a communication channel, or a combination of the communication link and the communication channel.

17. A computer-readable medium containing a sequence of instructions associated with a multi-channel wireless communication system with communication connections, which when executed by a computing device, causes the computing device to:

identify a type of data to be collected in a first one of the communication connections in the multi-channel wireless communication system;

collect a first set of data, and a second set of data in the first one of the communication connections in the multi-channel wireless communication system within a first time period when the first one of the communication connections is active, wherein the first set of data has a first dimension;

transform the first set of data to a third set of data, wherein the third set of data has a second dimension and the second dimension is less than the first dimension;

apply statistical technique to the second set of data and the third set of data to establish a model to characterize a second one of the communication connections of the multi-channel wireless communication system; and

validate the model to determine whether the model is appropriate to characterize the second one of the communication connections.

18. The computer-readable medium of claim 17, further including a sequence of instructions, which when executed by the computing device, causes the computing device to collect a fourth set of data in the first one of the communication connections in the multi-channel wireless communication system within a second time period.

19. The computer-readable medium of claim 17, further including a sequence of instructions, which when executed by the computing device, causes the computing device to collect a fourth set of data in the second one of the communication connections in the multi-channel wireless communication system within the first time period.

20. The computer-readable medium of claim 17, further including a sequence of instructions, which when executed by the computing device, causes the computing device to:

execute the model to generate an output; and

reconfigure the multi-channel wireless communication system based on the output of the model.

21. The computer-readable medium of claim 17, further including a sequence of instructions, which when executed by the computing device, causes the computing device to identify a problem associated with the first one of the communication connections or the second one of the communication connections in the multi-channel wireless communication system.

22. The computer-readable medium of claim 17, further including a sequence of instructions, which when executed by the computing device, causes the computing device to examine the statistical technique to determine whether one or more types of statistical techniques have been applied.

23. The computer-readable medium of claim 17, wherein the communication connections each corresponds to a communication link, a communication channel, or a combination of the communication link and the communication channel.