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How to Implement Network Multi RAT in OMNeT++

To implement the network with Multiple Radio Access Technologies (Multi-RAT) in OMNeT++ has encompasses set up a network where various devices or nodes can communicate using numerous wireless technologies like Wi-Fi, LTE, and 5G. The aim is to permit seamless handovers, load balancing, or selective use of these technologies based on the network conditions or user necessities.

Given below is a procedure with instances to implement Multi-RAT in OMNeT++ using the INET framework.

Step-by-Step Implementations:

  1. Set Up OMNeT++ and INET Framework:
  • Install OMNeT++: Make sure that OMNeT++ is installed on the system.
  • Install INET Framework: Download and install the INET framework, which offers models for numerous wireless technologies containing WiFi and LTE.
  1. Define the Network Topology:

Make a network topology that contains several RATs. For this instance, we will comprise Wi-Fi and LTE as the two RATs.

Example NED File (MultiRATNetwork.ned):

package mynetwork;

import inet.node.inet.StandardHost;

import inet.node.inet.WirelessRouter;

import inet.node.cellular.LteEnb;

import inet.node.cellular.LteUe;

import inet.node.wifi.AccessPoint;

network MultiRATNetwork

{

submodules:

lteEnb: LteEnb {

@display(“p=200,100”);

}

wifiAp: AccessPoint {

@display(“p=400,100”);

}

mobileDevice: StandardHost {

@display(“p=300,200”);

wlan[0].typename = “IdealWirelessNic”; // WiFi NIC

lte[0].typename = “LteUe”; // LTE NIC

}

connections allowunconnected:

mobileDevice.wlan[0] <–> wlan[0] <–> wifiAp.wlan[0];

mobileDevice.lte[0] <–> lte[0] <–> lteEnb.lte[0];

}

In this example:

  • LteEnb: Signifies an LTE eNodeB (base station).
  • AccessPoint: Denotes a WiFi access point.
  • StandardHost: Represents a mobile device equipped with both Wi-Fi and LTE interfaces.
  1. Configure RAT Interfaces:

In the omnetpp.ini configuration file, denote the parameters for each RAT, like data rates, frequency, and transmission power.

Example Configuration (omnetpp.ini):

[General]

network = MultiRATNetwork

# WiFi configuration

**.wifiAp.wlan[0].radio.transmitter.power = 20mW

**.wifiAp.wlan[0].radio.transmitter.carrierFrequency = 2.4GHz

**.mobileDevice.wlan[0].radio.receiver.sensitivity = -85dBm

# LTE configuration

**.lteEnb.lte[0].radio.transmitter.power = 23dBm

**.lteEnb.lte[0].radio.transmitter.carrierFrequency = 2GHz

**.mobileDevice.lte[0].radio.receiver.sensitivity = -90dBm

This configuration sets up the simple parameters for Wi-Fi and LTE interfaces, like carrier frequency and transmission power.

  1. Simulate Multi-RAT Operations:

We can mimic various situations to calculate how the network operates with numerous RATs. Instances contains handovers, load balancing, or selective use of RATs based on signal strength.

Example: Handover between Wi-Fi and LTE:

void handleHandover(cMessage *msg) {

// Assuming msg contains information about signal strength

double wifiSignal = getSignalStrength(“wlan[0]”);

double lteSignal = getSignalStrength(“lte[0]”);

if (wifiSignal < threshold && lteSignal > threshold) {

// Switch to LTE

switchToLTE();

} else if (lteSignal < threshold && wifiSignal > threshold) {

// Switch to WiFi

switchToWiFi();

}

scheduleAt(simTime() + 1, msg);  // Re-evaluate in 1 second

}

void switchToLTE() {

// Code to deactivate WiFi and activate LTE

deactivateInterface(“wlan[0]”);

activateInterface(“lte[0]”);

}

void switchToWiFi() {

// Code to deactivate LTE and activate WiFi

deactivateInterface(“lte[0]”);

activateInterface(“wlan[0]”);

}

This example establishes a simple handover mechanism where the mobile device switches among Wi-Fi and LTE based on signal strength.

  1. Record and Analyse Results:

Use OMNeT++’s recording features to log performance metrics like packet loss, latency, and throughput, for each RAT. This data can support to evaluate how well the network does with many RATs.

Example Configuration to Record Throughput:

[General]

network = MultiRATNetwork

**.mobileDevice.wlan[0].mac.throughput.recordScalar = true

**.mobileDevice.lte[0].mac.throughput.recordScalar = true

After running the simulation, we can visualize the throughput for both Wi-Fi and LTE interfaces to understand how traffic is stable or switched among the two.

  1. Advanced Scenarios:
  • Load Balancing: Execute a load balancing algorithm that delivers traffic across numerous RATs to optimize network performance.
  • QoS Management: Use QoS policies to prioritize certain kinds of traffic like video streaming over VoIP on the best available RAT.
  • Energy Efficiency: Mimic situations where the mobile device selects the RAT with the lowest energy consumption during maintaining performance.

Example of Load Balancing:

void loadBalanceTraffic() {

double wifiLoad = getNetworkLoad(“wlan[0]”);

double lteLoad = getNetworkLoad(“lte[0]”);

if (wifiLoad > lteLoad) {

redirectTrafficToLTE();

} else {

redirectTrafficToWiFi();

}

}

void redirectTrafficToLTE() {

// Code to reroute traffic to LTE

}

void redirectTrafficToWiFi() {

// Code to reroute traffic to WiFi

}

  1. Run and Analyse the Simulation:
  • Run the simulation: Monitor how the mobile device performs with several RATs.
  • Analyse results: Use the recorded metrics to calculate the performance of the Multi-RAT network.
  • Adjust parameters: Adjust the power settings, handover thresholds, and other parameters to optimize performance.
  1. Document and Report Findings:

After finalizing the simulations, document the scenarios verified, the results attained, and any optimizations made. It will support to knowing the benefits and difficulties of using Multi-RAT in real-world networks.

We had given comprehensive materials, step-by-step approaches, and instances are helps to implement the Network Multi RAT using INET framework in OMNeT++. We will offer further details based on your needs. Omnet-manual.com offer original thesis themes and suggestions in addition to assistance with network comparison analysis. We work on several wireless technologies such as Wi-Fi, LTE, and 5G, so remain in touch with us for solid instructions on how to implement Network Multi RAT in OMNeT++ tool.

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