Method and system for modeling a network using historical weather information and operation with adaptive coding and modulation (ACM)

• US 8,959,189 B2
• Filed: 03/30/2012
• Issued: 02/17/2015
• Est. Priority Date: 02/07/2012
• Status: Active Grant

• Current Assignee: Comtech EF Data (Comtech Telecommunications Corporation)
• Original Assignee: Comtech EF Data (Comtech Telecommunications Corporation)
• Inventors: Davis, Wallace, Beeler, Michael
• Primary Examiner(s): Bates, Kevin
• Assistant Examiner(s): McCray, Clarence D
• Application Number:
  US13/436,302
• Publication Number:
  US 20120191824A1
• Time in Patent Office: 1,054 Days
• Field of Search: 455/73, 370/252, 709/220
• US Class Current: 709/220
• CPC Class Codes: H04B 7/18513 Transmission in a satellite or space-based system
• CPC Class Codes: H04L 41/083 for increasing network speed
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level

Abstract

A method of dynamically modeling performance of a communications network that may involve modeling a communications network using a processor by performing a link budget analysis (LBA) for a proposed configuration of the communications network with at least one transmitter, at least one satellite repeating relay, and at least one remote receiver, determining link performance of the communications network by applying historical environmental data to the model, adjusting one or more network configuration parameters based on the determined link performance to improve performance of the modeled communications network, and determining one or more final network configuration parameters by iteratively performing the LBA and adjusting the one or more network configuration parameters based on the determined link performance and historical environmental data.

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 proposed configuration of the communications network, the communications network comprising at least one transmitter, at least one satellite repeating relay, and at least one remote receiver;

determining, by the processor, link performance of a link within the communications network by applying historical environmental data to the model;

adjusting, by the processor, one or more network configuration parameters other than a transmit power based on the determined link performance to improve performance of the modeled communications network while substantially maintaining a committed information rate; and

determining, by the processor, one or more final network configuration parameters by iteratively performing the LBA and adjusting the one or more network configuration parameters based on the determined link performance and historical environmental data.

2. The method of claim 1, wherein the historical environmental data comprises a precipitation density.

3. The method of claim 2, wherein the precipitation density relates to a predetermined geographical area that is bound by geographical coordinates.

4. The method of claim 3, wherein the geographical coordinates comprise degrees of latitude and longitude.

5. The method of claim 3, wherein the predetermined geographical area contains at least one communications network component.

6. The method of claim 1, wherein the modeling is constrained based on a selected time duration over which the historical environmental data was collected.

7. The method of claim 6, wherein the selected time duration is equal to or greater than a total duration over which the historical environmental data was collected.

8. The method of claim 6, wherein the selected time duration is less than a total duration over which the historical environmental data was collected.

9. The method of claim 8, further comprising stochastically altering one or more characteristics of the historical environmental data at time intervals less than a total duration over which the historical environmental data was collected.

10. The method of claim 8, wherein an average of a value of the historical environmental data for a duration of time that is less than a total duration over which the historical environmental data was collected is equal to an average of a value of the historical environmental data over a total duration over which the historical environmental data was collected.

11. The method of claim 8, wherein an average of a value of the historical environmental data for a duration of time that is less than a total duration over which the historical environmental data was collected is greater than or less than an average of a value of the historical environmental data over a total duration over which the historical environmental data was collected.

12. The method of claim 1, wherein the LBA is based on configuration information relating to characteristics of all transmitters.

13. The method of claim 1, wherein the LBA is based on configuration information relating to characteristics of all satellite repeating relays.

14. The method of claim 1, further comprising receiving, by the processor, a predetermined information rate.

15. The method of claim 1, further comprising receiving, by the processor, at least one of a minimum information rate and a maximum information rate.

16. The method of claim 1, further comprising receiving, by the processor, a duration over which the modeling occurs.

17. The method of claim 1, further comprising receiving, by the processor, a duration of time over which the historical environmental data was collected.

18. The method of claim 1, further comprising:

receiving, by the processor, updated historical environmental data; and

performing, by the processor, an LBA for each link in the communications network.

19. The method of claim 18, further comprising updating, by the processor, one or more available transmission characteristics for at least one of a transmit data rate and a receive data rate based on updated LBA information.

20. The method of claim 19, further comprising recording updated performance and availability information relating to the communications network based on the LBA performed for each link in the communications network based on the updated historical environmental data.

21. The method of claim 1, further comprising outputting the one or more final network configuration parameters and link and network availability statistics.

22. The method of claim 1, wherein the one or more final network configuration parameters are used to configure a new communications network.

23. The method of claim 1, wherein the one or more final network configuration parameters are used to re-configure an existing communications network.

24. The method of claim 1, wherein the processor is a single processor.

25. The method of claim 1, wherein the processor comprises a plurality of processors.

26. The method of claim 1, further comprising determining, by the processor, link performance of the communications network by applying real-time environmental data to the model.

27. 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 proposed configuration of the communications network;

determine link performance of a link within the communications network by applying historical environmental data to the model;

adjust one or more network configuration parameters other than a transmit power based on the determined link performance to improve performance of the modeled communications network while substantially maintaining a committed information rate; and

determine one or more final network configuration parameters by iteratively performing the LBA and adjusting the one or more network configuration parameters based on the determined link performance and historical environmental data.

28. The system of claim 27, wherein the historical environmental data comprises a precipitation density.

29. The system of claim 28, wherein the precipitation density relates to a predetermined geographical area that is bound by geographical coordinates.

30. The system of claim 29, wherein the geographical coordinates comprise degrees of latitude and longitude.

31. The system of claim 29, wherein the predetermined geographical area contains at least one communications network component.

32. The system of claim 27, wherein the model is constrained based on a selected time duration over which the historical environmental data was collected.

33. The system of claim 32, wherein the selected time duration is equal to or greater than a total duration over which the historical environmental data was collected.

34. The system of claim 32, wherein the selected time duration is less than a total duration over which the historical environmental data was collected.

35. The system of claim 34, wherein the processor is further configured to stochastically alter one or more characteristics of the historical environmental data at time intervals less than a total duration over which the historical environmental data was collected.

36. The system of claim 34, wherein an average of a value of the historical environmental data for a duration of time that is less than a total duration over which the historical environmental data was collected is equal to an average of a value of the historical environmental data over a total duration over which the historical environmental data was collected.

37. The system of claim 34, wherein an average of a value of the historical environmental data for a duration of time that is less than a total duration over which the historical environmental data was collected is greater than or less than an average of a value of the historical environmental data over a total duration over which the historical environmental data was collected.

38. The system of claim 27, wherein the LBA is based on configuration information relating to characteristics of all transmitters.

39. The system of claim 27, wherein the LBA is based on configuration information relating to characteristics of all satellite repeating relays.

40. The system of claim 27, wherein the processor is further configured to receive a predetermined information rate.

41. The system of claim 27, wherein the processor is further configured to receive at least one of a minimum information rate and a maximum information rate.

42. The system of claim 27, wherein the processor is further configured to receive a duration over which the modeling occurs.

43. The system of claim 27, wherein the processor is further configured to receive a duration of time over which the historical environmental data was collected.

44. The system of claim 27, wherein the processor is further configured to:

receive updated historical environmental data; and

perform an LBA for each link in the communications network.

45. The system of claim 44, wherein the processor is further configured to update one or more available transmission characteristics for at least one of a transmit data rate and a receive data rate based on updated LBA information.

46. The system of claim 45, wherein the processor is further configured to record updated performance and availability information relating to the communications network based on the LBA performed for each link in the communications network based on the updated historical environmental data.

47. The system of claim 27, wherein the processor is further configured to output the one or more final network configuration parameters and link and network availability statistics.

48. The system of claim 27, wherein the one or more final network configuration parameters are used to configure a new communications network.

49. The system of claim 27, wherein the one or more final network configuration parameters are used to re-configure an existing communications network.

50. The system of claim 27, wherein the processor is a single processor.

51. The system of claim 27, wherein the processor comprises a plurality of processors.

52. The system of claim 27, wherein the processor is further configured to determine link performance of the communications network by applying real-time environmental data to the model.