NED File src/simu5g/stack/sdap/QosFlowClassifier.ned

Name	Type	Description
QosFlowClassifier	simple module	Classifies a UE's uplink packets to QoS flows: the uplink counterpart of TrafficFlowFilter's QFI assignment, sitting where uplink traffic enters the UE's stack just as the TFF sits where downlink traffic enters the tunnel at the core network. Each direction is classified once, at its ingress.

Source code

//
//                  Simu5G
//
// Authors: Andras Varga (OpenSim Ltd)
//
// This file is part of a software released under the license included in file
// "license.pdf". Please read LICENSE and README files before using it.
// The above files and the present reference are part of the software itself,
// and cannot be removed from it.
//

package simu5g.stack.sdap;

//
// Classifies a UE's uplink packets to QoS flows: the uplink counterpart of
// ~TrafficFlowFilter's QFI assignment, sitting where uplink traffic enters the
// UE's stack just as the TFF sits where downlink traffic enters the tunnel at
// the core network. Each direction is classified once, at its ingress.
//
// The classification rules are delivered by the ~BearerConfigurator (see its
// ulQfiRules parameter, where they can be scoped per UE), through the UE's RRC:
// the same rule grammar the downlink rules use, evaluated in order, first match
// wins. They model the QoS rules that NAS signaling installs into a UE at PDU
// session establishment (TS 23.501 5.7.1.4); this module never authors rules of
// its own.
//
// A matched packet is stamped with a QfiReq tag, which ~NrSdap consumes for its
// QFI-to-DRB mapping. A packet no rule covers is left untagged -- deliberately
// not tagged with 0, because QFI 0 is a real classification (the default flow)
// and absence is what lets SDAP fall back to reflective QoS or the default DRB.
// A packet that already carries a QfiReq (an application that set the QFI
// directly) is not second-guessed. With no rules delivered, SDAP behaves as if
// this module were not there.
//
simple QosFlowClassifier like IQosFlowClassifier
{
    parameters:
        @display("i=block/classifier");
    gates:
        input upperLayerIn;
        output lowerLayerOut;
}