SIGNALING-LESS DYNAMIC CALL SETUP AND TEARDOWN BY UTILIZING OBSERVED SESSION STATE INFORMATION

• US 20110069685A1
• Filed: 09/23/2009
• Published: 03/24/2011
• Est. Priority Date: 09/23/2009
• Status: Active Grant

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Tofighbakhsh, Mostafa
• Granted Patent: US 9,049,617 B2
• Time in Patent Office: Days
• US Class Current: 370/338
• CPC Class Codes: H04L 41/5067 Customer-centric QoS measurements
• CPC Class Codes: H04L 43/0835 One way packet loss
• CPC Class Codes: H04L 43/0858 One way delays
• CPC Class Codes: H04L 43/087 Jitter
• CPC Class Codes: H04L 43/0894 Packet rate
• CPC Class Codes: H04L 45/302 Route determination based on requested QoS
• CPC Class Codes: H04L 45/70 Routing based on monitoring results
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic
• CPC Class Codes: H04W 28/02 Traffic management, e.g. flow control or congestion control
• CPC Class Codes: H04W 40/02 Communication route or path selection, e.g. power-based or shortest path routing
• CPC Class Codes: H04W 40/246 Connectivity information discovery

Abstract

A system and methodology that facilitates signaling-less call setup and teardown by employing observed Quality of Experience (QoE) and resource demands is provided. Moreover, the system provides an environment for supersonic treatment of observed QoE and Quality of Service (QoS) demands for mobile applications. Specifically, a monitoring component is employed to determine session state information associated with a traffic flow, which includes observed QoE and resource demand data. The session state information is stored in a shared memory location and can be analyzed to modify and/or create a network policy for the traffic flow. The network policy is applied to one or more traffic flows to minimize signaling exchanges between a communication network and a mobile station.

Claims

1. A system that facilitates signaling-less dynamic call setup in a wireless communication network, comprising:

a monitoring component that determines session state information associated with a traffic flow; and

a database that stores the determined session state information at a shared memory location.

2. The system of claim 1, wherein the monitoring component is located within at least one of a user equipment (UE), the wireless communication network, an application, or a third party entity.

3. The system of claim 1, wherein the database resides within at least one of a user equipment (UE), the wireless communication network, an application, or a third party entity.

4. The system of claim 1, wherein the session state information includes at least one of a session name, a mode of operation, a Quality of Experience (QoE) factor, an observed QoE, resource demand, or an observed network state, associated with the traffic flow.

5. The system of claim 1, further comprising, a scheduling component that analyzes the session state information to at least one of update an existing or create a new network policy.

6. The system of claim 5, wherein the scheduling component applies the at least one of updated or created network policy to at least one of the traffic flow or a set of disparate traffic flows to minimize signaling between the wireless communication network and a UE.

7. The system of claim 5, further comprising, an aggregation component that aggregates the session state information stored within the database and selects data delivered to the scheduling component, in a manner such that signaling is reduced.

8. The system of claim 5, further comprising a network policy store that stores one or more network policies associated with traffic flows in the wireless communication network, the one or more network policies are updated by the scheduling component based on the analysis.

9. The system of claim 1, data pulling component that utilizes a trigger protocol to synchronize the session state information between the database and the wireless communication network.

10. The system of claim 1, further comprising an artificial intelligence component that automatically modifies a network policy to facilitate efficient end-to-end (ETE) resource utilization by employing one or more machine learning techniques.

11. A method that facilitates efficient end-to-end (ETE) resource utilization in a communication network, comprising:

determining session state information associated with a traffic flow; and

updating a shared memory location with the determined session state information.

12. The method of claim 11, wherein the determining includes determining at least one of an observed Quality of Experience (QoE), network state dynamics, a resource demand, a user preference, an application preference, a service provider preference.

13. The method of claim 12, wherein the determining the observed QoE includes monitoring and analyzing at least one of the traffic flow, a delay, jitter, a mobile station (MS) location, user input, or content of data delivered.

14. The method of claim 11, further comprising, analyzing the session state information.

15. The method of claim 14, further comprising, updating one or more network policies based in part on the analysis.

16. The method of claim 15, further comprising, enforcing the one or more network policies on the traffic flow to reduce signaling between the communication network and a mobile station.

17. The method of claim 11 further comprising:

classifying traffic flows into one or more categories;

sampling session state information associated with a traffic flow in a category; and

updating at least one network policy associated with a set of traffic in the category based in part on an analysis of the sampled information.

18. A system that facilitates dynamically adjusting one or more network policies during wireless communications, comprising:

means for determining session state data associated with a traffic flow between a user equipment and a communication network;

means for storing the determined session state data, the means for storing provides shared access to stored data; and

means for modifying the one or more network policies associated with the traffic flow based in part on an analysis of the stored session state data.

19. The system of claim 18, wherein, the means for determining determines the session state data based on at least one of an observed Quality of Experience (QoE), an observed network state, a resource demand, a user preference, an application preference, a service provider preference.

20. The system of claim 18, further comprising, means for synchronizing the session state data between the means for storing and the communication network by employing a trigger protocol.