Auto-IP traffic optimization in mobile telecommunications systems
First Claim
1. In a mobile telecommunications network in which a plurality of mobile stations communicate through a radio access network (RAN) through a network having at least one Serving GPRS Support Node (SGSN) and at least one Gateway GPRS Support Node (GGSN) through the Internet to a plurality of servers, a system for the automatic optimization of traffic comprising:
- one or more Gb probes for extracting information from an interface between the RAN and the SGSN including the identity of each user associated with a specific data flow;
a network management system (NMS) for providing congestion and traffic information from the RAN;
one or more IP probes for providing information regarding quantities and types of IP traffic and delays between the mobile stations and the interface;
a customer database for providing information regarding the type and quality of service for each user of a mobile station;
a policy decision point for automatic generation of policy actions to optimize traffic for each data flow on a cell-by-cell basis, said policy decision point using a finite state machine working in conjunction with an n-dimensional traffic model and information from the Gb probes, the NMS and the customer database to determine said policy actions; and
,a traffic optimizer for implementing the policy actions determined by the policy decision point.
9 Assignments
0 Petitions
Accused Products
Abstract
A system and method for the implementation of fine-grained quality of service in a mobile telecommunications environment uses an Auto-IP Policy Decision Point (PDP) to determine what traffic optimizations actions should be taken in reaction to various network conditions. The Auto-IP PDP uses as inputs information from a Gb interface probe to determine the user identification of an IP data flow, information from the radio access network (RAN) network management system (NMS) regarding network congestion. The cell traffic information is passed onto a traffic analysis and processing engine, the Auto-IP PDP which maps the real-time traffic information into an n-dimensional traffic model. An automated policy decision guiding algorithm is executed on the n-dimensional traffic model and selects policy based on the traffic and cell congestion conditions, without human intervention. Additionally, a consistency check is performed to ensure that new policies are consistent with existing policies. The policy decision outcome is forwarded to the Auto-IP Traffic Optimizer that acts on the network at a point in the network (Gi) that is different from where traffic problem occurs in the RAN. The Auto-IP Traffic Optimizer implements the decisions of the Auto IP-PDP by performing traffic shaping, TCP window clamping or other traffic optimization procedures on a cell-by-cell basis.
-
Citations
11 Claims
-
1. In a mobile telecommunications network in which a plurality of mobile stations communicate through a radio access network (RAN) through a network having at least one Serving GPRS Support Node (SGSN) and at least one Gateway GPRS Support Node (GGSN) through the Internet to a plurality of servers, a system for the automatic optimization of traffic comprising:
-
one or more Gb probes for extracting information from an interface between the RAN and the SGSN including the identity of each user associated with a specific data flow; a network management system (NMS) for providing congestion and traffic information from the RAN; one or more IP probes for providing information regarding quantities and types of IP traffic and delays between the mobile stations and the interface; a customer database for providing information regarding the type and quality of service for each user of a mobile station; a policy decision point for automatic generation of policy actions to optimize traffic for each data flow on a cell-by-cell basis, said policy decision point using a finite state machine working in conjunction with an n-dimensional traffic model and information from the Gb probes, the NMS and the customer database to determine said policy actions; and
,a traffic optimizer for implementing the policy actions determined by the policy decision point. - View Dependent Claims (2, 3, 4, 5, 6)
-
-
7. A method for automatic optimization of traffic flow between users of mobile stations and servers connected through a radio access network (RAN), a packet-based core network and the Internet comprising the steps of:
-
extracting information from the interface between the RAN and the packet-based network including the identity of each user associated with a specific traffic flow; collecting information from a network management system (NMS) regarding congestion and traffic information from the RAN; collecting information from one or more IP probes regarding quantities and types of IP traffic and delays between mobile stations and a Gi interface; retrieving data from a customer database regarding the type and quality of service for each user of a mobile station; inputting the extracted RAN information, collected NMS information, and retrieved customer data into a policy decision point; determining at the policy decision point policy actions to optimize traffic for each data flow on a cell-by-cell basis, said determining based on a finite state machine and an n-dimensional traffic model; and
,implementing the actions on a traffic optimizer on a cell-by-cell basis. - View Dependent Claims (8, 9, 10, 11)
-
Specification