Method and System for Performing Multi-Layer, Multi-Dimensional Link Budget Analysis (LBA) Using Real-Time Network, Weather, Satellite Ephemeras and Ionospheric Information

• US 20120188880A1
• Filed: 04/02/2012
• Published: 07/26/2012
• Est. Priority Date: 01/31/2012
• Status: Active Grant

• Current Assignee: Comtech EF Data (Comtech Telecommunications Corporation)
• Original Assignee: Comtech EF Data (Comtech Telecommunications Corporation)
• Inventors: Beeler, Michael, Davis, Wallace, Baddick, John
• Granted Patent: US 8,914,536 B2
• Time in Patent Office: Days
• US Class Current: 370/246
• CPC Class Codes: H04B 7/18513 Transmission in a satellite or space-based system
• CPC Class Codes: H04B 7/18543 for adaptation of transmission parameters, e.g. power control for detecting or preventing errors in the information received H04L1/00
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic

Abstract

Methods of dynamically modeling performance of a communications network that may include modeling a communications network using a processor by performing a link budget analysis (LBA) for a configuration of the communications network, receiving a plurality of layers of real-time information about the communications network, iteratively performing additional LBAs using one or more of the layers of real-time information from among the plurality of layers of real-time information, multi-dimensionally co-modeling a matrix comprising results of the iteratively performed additional LBAs, and determining one or more final communications network configuration parameters based on the multi-dimensionally co-modeled matrix.

Claims

1. A method of dynamically modeling performance of a communications network, the method comprising:

modeling a communications network using a processor by performing a link budget analysis (LBA) for a configuration of the communications network;

receiving, by the processor, a plurality of layers of real-time information about the communications network;

iteratively performing additional LBAs by the processor using one or more of the layers of real-time information from among the plurality of layers of real-time information;

multi-dimensionally co-modeling, by the processor, a matrix comprising results of the iteratively performed additional LBAs; and

determining, by the processor, one or more final communications network configuration parameters based on the multi-dimensionally co-modeled matrix.

2. The method of claim 1, wherein the real-time information comprises user traffic information.

3. The method of claim 1, wherein the real-time information comprises reported performance of signal quality and is reported as symbol energy over noise density (Es/No) or bit energy over noise density (Eb/No).

4. The method of claim 1, wherein the real-time information comprises weather information.

5. The method of claim 1, wherein the real-time information comprises is satellite ephemeris information.

6. The method of claim 1, wherein the real-time information comprises ionospheric condition information.

7. The method of claim 1, wherein the real-time information comprises information relating to a location, velocity, or condition of a stationary or mobile terminal within the communications network.

8. The method of claim 1, further comprising transmitting an output of the processor to a regenerative repeating device.

9. The method of claim 1, further comprising transmitting an output of the processor to a hub, one or more remote devices, or one or more repeating relays.

10. The method of claim 1, wherein the processor comprises a single processor configured to process one or more layers of real-time information.

11. The method of claim 1, wherein the processor comprises a plurality of processors configured to process one or more layers of real-time information.

12. The method of claim 1, wherein the one or more final network configuration parameters comply with one or more regulatory mandates.

13. The method of claim 12, further comprising monitoring a power spectral density (PSD) within the communications network and adjusting one or more network configuration parameters such that off-axis signal emissions remain below a maximum level as specified by the one or more regulatory mandates.

14. The method of claim 12, further comprising monitoring a transmit power of a transmitter within the communications network and adjusting one or more network configuration parameters such that the transmit power remains below a maximum level as specified by the one or more regulatory standards.

15. The method of claim 12, further comprising adjusting one or more network configuration parameters such that the communications network complies with static ground, earth surface vehicle, vehicle-mounted earth station, and aircraft earth station International Telecommunication Union (ITU) or Federal Communications Commission (FCC) Aeronautical Mobile Satellite Service (AMSS) regulatory limits.

16. The method of claim 12, further comprising disabling transmission by a transmitter within the communications network when there is no combination of network configuration parameters that results in the communications network remaining in compliance with the one or more regulatory mandates.

17. The method of claim 12, further comprising outputting an error message when the communications network is noncompliant with the one or more regulatory mandates.

18. The method of claim 17, wherein the error message comprises a textual message, a binary signal, or an error condition.

19. A system for dynamically modeling performance of a communications network, the system comprising:

a communications network comprising at least one transmitter, at least one satellite repeating relay, and at least one remote receiver; and

a processor configured to;

model the communications network by performing a link budget analysis (LBA) for a configuration of the communications network;

receive a plurality of layers of real-time information about the communications network;

iteratively perform additional LBAs using one or more of the layers of real-time information from among the plurality of layers of real-time information;

multi-dimensionally co-modeling, by the processor, a matrix comprising results of the iteratively performed additional LBAs; and

determine one or more final communications network configuration parameters based on the multi-dimensionally co-modeled matrix.

20. The system of claim 19, wherein the real-time information comprises user traffic information.

21. The system of claim 19, wherein the real-time information comprises reported performance of signal quality and is reported as symbol energy over noise density (Es/No) or bit energy over noise density (Eb/No).

22. The system of claim 19, wherein the real-time information comprises weather information.

23. The system of claim 19, wherein the real-time information comprises is satellite ephemeris information.

24. The system of claim 19, wherein the real-time information comprises ionospheric condition information.

25. The system of claim 19, wherein the real-time information comprises information relating to a location, velocity, or condition of a stationary or mobile terminal within the communications network.

26. The system of claim 19, wherein the processor is further configured to transmit an output to a regenerative repeating device.

27. The system of claim 19, wherein the processor is further configured to transmit an output to a hub, one or more remote devices, or one or more repeating relays.

28. The system of claim 19, wherein the processor comprises a single processor configured to process one or more layers of real-time information.

29. The system of claim 19, wherein the processor comprises a plurality of processors configured to process one or more layers of real-time information.

30. The system of claim 19, wherein the one or more final network configuration parameters comply with one or more regulatory mandates.

31. The system of claim 30, wherein the processor is further configured to monitor a power spectral density (PSD) within the communications network and adjust one or more network configuration parameters such that off-axis signal emissions remain below a maximum level as specified by the one or more regulatory mandates.

32. The system of claim 30, wherein the processor is further configured to monitor a transmit power of a transmitter within the communications network and adjust one or more network configuration parameters such that the transmit power remains below a maximum level as specified by the one or more regulatory standards.

33. The system of claim 30, wherein the processor is further configured to adjust one or more network configuration parameters such that the communications network complies with static ground, earth surface vehicle, vehicle-mounted earth station, and aircraft earth station International Telecommunication Union (ITU) or Federal Communications Commission (FCC) Aeronautical Mobile Satellite Service (AMSS) regulatory limits.

34. The system of claim 30, wherein the processor is further configured to disable transmission by a transmitter within the communications network when there is no combination of network configuration parameters that results in the communications network remaining in compliance with the one or more regulatory mandates.

35. The system of claim 30, wherein the processor is further configured to output an error message when the communications network is noncompliant with the one or more regulatory mandates.

36. The system of claim 35, wherein the error message comprises a textual message, a binary signal, or an error condition.