How to Implement network Capacity Improvement in OMNeT++

To implement the network capacity Improvement in OMNeT++, we have to optimize the capability of a network to help more users, higher data rates or better quality of service (QoS). It can be done through different methods like optimizing channel allocation, executing advanced modulation schemes, deploying extra network structure or using smart scheduling algorithms. Follow the below demonstration to implement the capacity improvement in the network.

Steps to Implement Network Capacity Improvement in OMNeT++

Install OMNeT++ and INET Framework:
- Make certain to install both OMNeT++ and the INET framework. INET offers necessary elements for simulating wireless networks, encompassing tools for channel management, traffic managing, and QoS.
Define the Network Topology:
- Use .ned file to generate a network topology that has nodes (e.g., base stations, access points, mobile nodes) whose capacity will be enhanced through different techniques.
Implement Capacity Improvement Mechanisms:
- Build or execute capacity improvement techniques like dynamic channel allocation, power control, MIMO (Multiple Input Multiple Output), cooperative communication, or load balancing. These techniques can be applied at multiple layers of the network stack, as well as the MAC, network, or application layers.
Simulate Various Scenarios:
- Set up scenarios with high user density, heavy traffic loads, or QoS requirements that challenge the network’s capacity. Apply the capacity improvement mechanisms to these scenarios.
Configure the Simulation Environment:
- Use the .ini file to set up parameters like channel bandwidth, transmission power, modulation schemes, and traffic patterns.
Run the Simulation and Analyze Results:
- Implement the simulation and assess the efficiency of the capacity improvement mechanisms. Key metrics like throughput, spectral efficiency, packet loss, delay, and overall network capacity.

Example: Implementing Basic Network Capacity Improvement in OMNeT++

Define the Network Topology in a .ned File

// CapacityImprovementNetwork.ned

package networkstructure;

import inet.node.inet.WirelessHost;

import inet.node.inet.Router;

network CapacityImprovementNetwork

{

parameters:

int numNodes = default(10); // Number of mobile nodes

int numChannels = default(3); // Number of available channels

submodules:

baseStation: Router {

@display(“p=100,200”);

}

mobileNode[numNodes]: WirelessHost {

@display(“p=300,200”);

numApps = 1;

app[0].typename = “MobileNodeApp”;

}

connections:

mobileNode[*].wlan[0] <–> WirelessChannel <–> baseStation.wlan[0];

}

Implement the Capacity Improvement Mechanism

Develop a C++ class for the application which manage dynamic channel allocation or load balancing between mobile nodes.

#include <omnetpp.h>

#include <inet/applications/base/ApplicationBase.h>

using namespace omnetpp;

using namespace inet;

class MobileNodeApp : public ApplicationBase

{

protected:

int currentChannel;

virtual void initialize(int stage) override;

virtual void handleMessageWhenUp(cMessage *msg) override;

void selectBestChannel();

public:

virtual int numInitStages() const override { return NUM_INIT_STAGES; }

};

Define_Module(MobileNodeApp);

void MobileNodeApp::initialize(int stage)

{

ApplicationBase::initialize(stage);

if (stage == INITSTAGE_APPLICATION_LAYER) {

currentChannel = -1; // Start with no channel assigned

// Schedule initial channel selection

scheduleAt(simTime() + uniform(1, 2), new cMessage(“selectChannel”));

}

void MobileNodeApp::handleMessageWhenUp(cMessage *msg)

{

if (strcmp(msg->getName(), “selectChannel”) == 0) {

selectBestChannel();

scheduleAt(simTime() + uniform(5, 10), msg); // Re-schedule channel selection

} else {

delete msg;

}

void MobileNodeApp::selectBestChannel()

{

EV << “Selecting the best channel for communication.” << endl;

// Example: Simple channel selection based on load or interference

int bestChannel = 0;

double bestChannelQuality = DBL_MAX;

for (int i = 0; i < getParentModule()->par(“numChannels”).intValue(); i++) {

double channelQuality = uniform(0, 1); // Simulated quality metric (lower is better)

if (channelQuality < bestChannelQuality) {

bestChannel = i;

bestChannelQuality = channelQuality;

}

if (bestChannel != currentChannel) {

currentChannel = bestChannel;

EV << “Switching to channel ” << currentChannel << ” with quality ” << bestChannelQuality << endl;

// Implement channel switch (in practice, this could involve adjusting frequency, etc.)

getParentModule()->getSubmodule(“wlan”)->par(“channelNumber”) = currentChannel;

}

Configure the Simulation in the .ini File

network = networkstructure.CapacityImprovementNetwork

sim-time-limit = 300s

# Base station settings

*.baseStation.wlan.mac.maxQueueSize = 1000;

*.baseStation.wlan.phy.transmitter.power = 5mW;

# Mobile node settings

*.mobileNode[*].wlan.mac.maxQueueSize = 500;

*.mobileNode[*].wlan.phy.transmitter.power = 2mW;

# Channel settings

*.mobileNode[*].app[0].numChannels = 3; # Number of channels available for selection

Explanation of the Example

Network Topology (CapacityImprovementNetwork.ned):
- The network consists of a base station and multiple mobile nodes. The mobile nodes can dynamically choose the best communication channel depends on current network conditions.
Capacity Improvement Mechanism (MobileNodeApp.cc):
- The MobileNodeApp module executes a simple dynamic channel selection mechanism in which the mobile nodes switch to the best available channel as per the mimicked quality metric (e.g., load or interference).
Simulation Configuration (omnetpp.ini):
- The .ini file configures the number of channels, transmission power, and other parameters for the nodes, allowing the simulation of network capacity improvement.

Running the Simulation

Compile the project in OMNeT++ IDE and run the simulation.
Use OMNeT++’s tools to evaluate how dynamic channel selection advances network capacity. Focus on metrics like throughput, channel utilization, packet loss, and overall network performance.

Extending the Example

Advanced Channel Allocation: Execute more sophisticated channel allocation algorithms that consider factors like user mobility, traffic load, QoS requirements, or meddling from other networks.
MIMO: Present MIMO (Multiple Input Multiple Output) technology to improve spectral efficiency and increase network capacity.
Load Balancing: Implement load balancing mechanisms that disperse users across multiple base stations or access points to prevent jamming in high-traffic areas.
Adaptive Modulation and Coding (AMC): Implement AMC techniques that fine-tune the modulation and coding schemes based on channel conditions to enhance data rates and capacity.
Small Cells and Heterogeneous Networks: Deploy small cells (e.g., femtocells, picocells) or use a heterogeneous network (HetNet) approach to improve coverage and capacity in dense urban environments.
QoS-Aware Scheduling: Implement QoS-aware scheduling algorithms that prioritize traffic based on its importance and requirements, making sure that vital applications receive sufficient resources.

We successfully utilize the OMNeT++ and INET framework for their essential features which is required to implement the network Capacity Improvement including sample codes. It is very helpful when it comes to larger number of users or using bigger data. We will intent to offer additional information about this process, for further references.

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