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 G.sub.b 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 (G.sub.i)
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.