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How to Implement Network QoE Attainment in OMNeT++

To implement the Network Quality of Experience (QoE) attainment in OMNeT++, we have to analyze how the end-users identify the performance of network services by simulating a network. It is normally concentrates on applications like video streaming, VoIP, or web browsing. QoE is a user-centric measure that considers factors such as latency, jitter, packet loss, and their influence on user experience. omnet-manual.com have leading developers we guide you with implementation results and provide for valuable assistance. Follow the demonstration to implement in OMNeT++:

Step-by-Step Implementation:

  1. Set Up OMNeT++ Environment:
  • Install OMNeT++: Make certain OMNeT++ is installed on your system.
  • Install INET Framework: Download and set up the INET framework, which offers necessary models for networking elements and protocols.
  1. Define the Network Topology:

Begin by defining the network topology which imitates the flow of traffic typically allied with QoE like video streaming or VoIP.

Example NED File (QoENetwork.ned):

package mynetwork;

import inet.node.inet.Router;

import inet.node.inet.StandardHost;

import inet.node.inet.AccessPoint;

network QoENetwork

{

submodules:

accessPoint: AccessPoint {

@display(“p=200,200”);

}

server: StandardHost {

@display(“p=400,200”);

}

client: StandardHost {

@display(“p=100,200”);

}

connections allowunconnected:

server.pppg++ <–> ethernetLine <–> accessPoint.pppg++;

client.pppg++ <–> wlan <–> accessPoint.wlan++;

}

This example states a simple network where a client connects to a server via an access point, imitating a typical situation for video streaming or web browsing.

  1. Simulate QoE-Relevant Traffic:

To estimate QoE, simulate traffic like video streaming, VoIP, or web browsing. INET offers application models that can imitate this traffic.

Example Configuration for Video Streaming:

network = QoENetwork

**.server.numApps = 1

**.server.app[0].typename = “UdpVideoStreamServer”

**.server.app[0].destAddresses = “client”

**.server.app[0].videoFileSize = 10MB

**.server.app[0].videoDuration = 60s

**.client.numApps = 1

**.client.app[0].typename = “UdpVideoStreamClient”

**.client.app[0].localPort = 1234

**.client.app[0].playoutBuffer = 2s

In this sample:

  • Server: Use UdpVideoStreamServer to simulate a video streaming server.
  • Client: Receives and plays out the video using UdpVideoStreamClient.
  1. Monitor and Record QoE Metrics:

QoE is normally analyzed using metrics like:

  • Startup Delay: The time it takes for the video or audio to start playing.
  • Buffering Events: Frequency and period of rebuffering or disruptions.
  • Packet Loss: Percentage of packets lost during transmission.
  • Jitter: Variation in packet arrival time, affecting smooth playback.
  • Mean Opinion Score (MOS): A subjective measure of user satisfaction.

Example omnetpp.ini for Recording Metrics:

network = QoENetwork

# Enable recording of QoE metrics

**.client.app[0].startupDelay.recordScalar = true

**.client.app[0].rebufferingTime.recordScalar = true

**.client.app[0].totalReceivedBytes.recordScalar = true

**.client.app[0].packetLossRate.recordScalar = true

**.client.app[0].jitter.recordScalar = true

Example Code for Calculating MOS (Mean Opinion Score):

double calculateMOS(double startupDelay, double rebufferingTime, double jitter, double packetLossRate) {

// Simplified MOS calculation (1-5 scale)

double mos = 5.0;

mos -= startupDelay / 10.0;  // Penalize long startup delays

mos -= rebufferingTime / 5.0;  // Penalize frequent rebuffering

mos -= jitter / 10.0;  // Penalize high jitter

mos -= packetLossRate * 10.0;  // Penalize high packet loss

return std::max(1.0, mos);  // MOS should be between 1 and 5

}

void finish() override {

double startupDelay = par(“startupDelay”).doubleValue();

double rebufferingTime = par(“rebufferingTime”).doubleValue();

double jitter = par(“jitter”).doubleValue();

double packetLossRate = par(“packetLossRate”).doubleValue();

double mos = calculateMOS(startupDelay, rebufferingTime, jitter, packetLossRate);

recordScalar(“MOS”, mos);

}

This code snippet demonstrates how to computes a simplified MOS according to the  network performance metrics.

  1. Simulate and Analyze QoE:

Run the simulation and monitor how the network performance impacts the QoE metrics. Visualize and analyze the results by using OMNeT++’s tools.

Example Simulation Analysis:

  • Startup Delay: Estimate the time from when the client requests the video to when playback starts.
  • Rebuffering Time: Observe how often and for how long the video playback is interrupted.
  • Jitter and Packet Loss: Find the variability in packet delivery times and the percentage of lost packets.

These metrics offers insights into how network conditions influence the user experience.

  1. Optimize the Network for QoE:

We can enhance the network to optimize QoE based on the simulation results. Some strategies include:

  • Traffic Prioritization: Implement QoS to prioritize video or VoIP traffic.
  • Bandwidth Allocation: Allocate more bandwidth to critical services.
  • Reducing Latency and Jitter: Optimize routing and minimize delay variation.

Example of Traffic Prioritization Using QoS:

network = QoENetwork

**.router1.queue.numQueues = 2

**.router1.queue.packetCapacity = -1

**.router1.queue.classifierModule = “inet.queueing.classifier.PacketClassifier”

**.router1.queue.classifier.packetFilters = “inet.queueing.filter.PacketFilter”

**.router1.queue.classifier.packetFilters[0].pattern = “UDP && udp.destPort == 1234”

**.router1.queue.packetCapacity = -1  # Prioritize UDP traffic on port 1234

This configuration build a QoS policy that prioritizes video streaming traffic, which should improve QoE.

  1. Implement Advanced QoE Models:

For more difficult situation, consider incorporating advanced QoE models:

  • P.1201 and P.1203 Models: ITU-T standards for computing video QoE.
  • Subjective Testing Simulations: Simulate user ratings to correlate network performance with perceived quality.
  • Dynamic QoE Monitoring: Execute real-time QoE observing that adapts to altering network conditions.

Example of Dynamic QoE Monitoring:

void handleMessage(cMessage *msg) override {

double currentJitter = calculateJitter();

double currentPacketLoss = calculatePacketLoss();

if (currentJitter > threshold || currentPacketLoss > threshold) {

adjustNetworkParameters();  // Adjust QoS settings dynamically

}

scheduleAt(simTime() + interval, msg);  // Continue monitoring

}

  1. Document and Report QoE Results:

Once the simulation is done, document the QoE metrics and their correlation with network conditions. Create reports that can guide network enhancement by using the results.

This process has step-by-step approach on how to implement and evaluate QoE in OMNeT++ with examples and also we use INET framework for communication purposes, offers some protocols to execute this.

To achieve Network Quality of Experience (QoE) implementation in the OMNeT++ tool, consult omnet-manual.com for comprehensive guidance.

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