SYSTEM AND METHOD FOR MULTI-CHANNEL DATA-ADAPTIVE THRESHOLDING FOR SHARED CHANNELS WITH TIME-VARYING RATE CONSTRAINTS

• US 20090161543A1
• Filed: 12/20/2007
• Published: 06/25/2009
• Est. Priority Date: 12/20/2007
• Status: Active Grant

• Current Assignee: Harris Corporation (L3Harris Technologies, Inc.)
• Original Assignee: Harris Corporation (L3Harris Technologies, Inc.)
• Inventors: Beadle, Edward R.
• Granted Patent: US 7,688,730 B2
• Time in Patent Office: Days
• US Class Current: 370/232
• CPC Class Codes: H04L 41/0896 Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities flow or congestion control using dynamic resource allocation, e.g. in-call renegotiation, H04L47/76
• CPC Class Codes: H04L 47/10 Flow control; Congestion control
• CPC Class Codes: H04L 47/12 Avoiding congestion; Recovering from congestion
• CPC Class Codes: H04L 47/24 Traffic characterised by specific attributes, e.g. priority or QoS
• CPC Class Codes: H04L 47/263 Rate modification at the source after receiving feedback
• CPC Class Codes: H04L 47/29 using a combination of thresholds
• CPC Class Codes: H04W 8/04 Registration at HLR or HSS [Home Subscriber Server]

Abstract

A system and method allocates bandwidth for a plurality of data sources within a communications network. The data sources each generate data and transmit the generated data along communications channels in a shared communications link of the communications network. Each data source includes a data sensor for sensing data generation at each data source indicative of network resource usage. A node is connected to the communications link for receiving the data generated from respective data sources. A controller is associated with at least one of the node and each data sensor and data source for establishing data sensor detection thresholds, reallocating excess data capacity from underused channels to those channels requiring excess data capacity, and setting new data detection thresholds for each data sensor based on reallocated data rates at each data source.

Claims

1. A method of allocating bandwidth for a plurality of data sources within a communications network, comprising:

establishing data detection thresholds for a plurality of data sensors associated with data sources that generate data along communications channels in a shared communications link to a common node based on an initially allocated data rate for each data source;

reallocating excess data capacity from underused channels to those channels requiring excess data capacity by sensing data generation at each data source indicative of network resource usage; and

setting new data detection thresholds for each data sensor based on reallocated data rates at each data source.

2. The method according to claim 1, which further comprises setting maximum and minimum sensitivities of data sensors for sensing data generation at each data source indicative of network resource usage.

3. The method according to claim 1, which further comprises setting detection thresholds for each data sensor to meet an initially allocated data rate.

4. The method according to claim 1, which further comprises setting detection thresholds for each data source during a training interval interspersed with data collection.

5. The method according to claim 4, which further comprises using an order-statistic approach for setting detection thresholds.

6. The method according to claim 4, which further comprises aperiodically retraining when sensing deviations in data generation.

7. A method of allocating bandwidth for a plurality of data sources within a communications network, comprising:

establishing data detection thresholds for a plurality of data sensors associated with data sources that generate data along communications channels in a shared communications link to a common multiplexer node based on an initially allocated data rate for each data source;

reporting from each data sensor a rate demand and reserve bandwidth to the multiplexer node to which the data sources and data sensor are connected;

determining any excess capacity for data sources;

instructing data sources to reallocate excess data capacity from underused channels to those channels requiring excess data capacity; and

setting new data detection thresholds for each data sensor based on reallocated data rates at each data source.

8. The method according to claim 7, which further comprises establishing a pooled bandwidth reserve to allow data sensors to lower detection thresholds and improve sensitivity to lower amplitude events in the communications link.

9. The method according to claim 7, which further comprises setting maximum and minimum sensitivities of data sensors for sensing data generation at each data source indicative of network resource usage.

10. The method according to claim 7, which further comprises setting detection thresholds for each data sensor to meet an initially allocated data rate.

11. The method according to claim 7, which further comprises setting detection thresholds for each data sensor during a training interval interspersed with data collection.

12. The method according to claim 11, which further comprises using an order-statistic approach for setting detection thresholds.

13. The method according to claim 11, which further comprises aperiodically retraining when sensing deviations in data generation at the data sources.

14. A system comprising:

a plurality of data sources that each generate data and transmit the generated data along communications channels in a shared communications link of a communications network, each data source including a data sensor for sensing data generation at each data source indicative of network resource usage;

a node connected to the communications link for receiving the data generated from respective data sources; and

a controller associated with one of at least the node and each data sensor and data source for establishing data sensor detection thresholds, reallocating excess data capacity from underused channels to those channels requiring excess data capacity, and setting new data detection thresholds for each data sensor based on reallocated data rates at each data source.

15. The system according to claim 14, wherein at least one of said controller and data sensors are operative for setting maximum and minimum sensitivities on each data sensor.

16. The system according to claim 14, wherein at least one of said controller and data sensors are operative for setting detection thresholds for each data sensor to meet an initially allocated data rate.

17. The system according to claim 14, wherein at least one of said controller and data sensors are operative for setting detection thresholds for each data sensor during a training interval interspersed with data collection.

18. The system according to claim 14, wherein at least one of said controller and data sensors are operative for using an order-statistic approach for setting detection thresholds.

19. The system according to claim 14, wherein at least one of said controller and data sensors are operative for aperiodically retraining when sensing deviations in data generation.

20. A system comprising:

a plurality of data sources that each generate data and transmit the generated data along a communications channels in a shared communications link of a communications network, each data source including a data sensor for sensing data generation at each data source indicative of network resource usage;

a multiplexer node connected to the communications link for receiving the data generated from respective data sources; and

a controller associated with one of at least the common multiplexer node and each data sensor and data source for establishing data sensor detection thresholds, establishing a pooled bandwidth reserve to allow data sensors to lower detection thresholds and improve sensitivity to lower amplitude events and reallocate excess data capacity from underused channels to those channels requiring excess data capacity, and setting new data detection thresholds for each data sensor based on reallocated data rates at each data source.

21. The system according to claim 20, wherein at least one of said controller and data sensors are operative for setting maximum and minimum sensitivities on each data sensor.

22. The system according to claim 20, wherein at least one of said controller and data sensors are operative for setting detection thresholds for each data sensor to meet an initially allocated data rate.

23. The system according to claim 20, wherein at least one of said controller and data sensors are operative for setting detection thresholds for each data sensor during a training interval interspersed with data collection.

24. The system according to claim 20, wherein at least one of said controller and data sensors are operative for aperiodically retraining when sensing deviations in data generation.