How to Begin Implement Network Signal to Noise Ratio in NS3

To implement and calculate thhe Signal-to-Noise Ratio (SNR) in NS3, we can use the wireless components, like as Wifi, Lte, or Nr, and leverage the PHY layer functionalities to calculate the SNR for signal communications. SNR is an important metric for estimating the quality of wireless communication connections.

Steps to Implement Signal-to-Noise Ratio in NS3

1. Understand Signal-to-Noise Ratio

• Definition:
  • SNR is the ratio for power the received signal to power of background noise.

SNR (dB)=10⋅log⁡10(Signal PowerNoise Power)\text{SNR (dB)} = 10 \cdot \log_{10}\left(\frac{\text{Signal Power}}{\text{Noise Power}}\right)SNR (dB)=10⋅log10​(Noise PowerSignal Power​)

• Importance:
  • Higher SNR specifies are improved the signal quality and lower error rates.

2. Set up NS3 Simulation Environment

1. Install NS3:
   • Assure the tool NS3 is installed. Download it from the NS3 website.
2. Choose a Wireless Network:
   • Use Wifi, Lte, or Nr components, has involves the helps for signal broadcast and noise modeling.
3. Enable PHY Layer Tracing:
   • Use YansWifiPhy or similar the PHY helper for trace the received signal power and noise.

3. Implement SNR Calculation

1. Extract Signal and Noise Power:
   • Use the trace callbacks for record the signal and noise power in the receiver.
2. Calculate SNR:
   • Calculate the SNR using the logged values.

4. Implement SNR Measurement

Further down is a sample for script to calculate the SNR in a WiFi net

Example Script: Measuring SNR in NS3

#include “ns3/core-module.h”

#include “ns3/network-module.h”

#include “ns3/internet-module.h”

#include “ns3/wifi-module.h”

#include “ns3/mobility-module.h”

#include “ns3/applications-module.h”

using namespace ns3;

void MonitorSNR(Ptr<WifiPhy> wifiPhy) {

double signalPower = wifiPhy->GetRxPower(); // Get received signal power

double noisePower = wifiPhy->GetNoiseFigure(); // Get noise power

double snr = 10 * std::log10(signalPower / noisePower); // Calculate SNR in dB

NS_LOG_UNCOND(“Time: ” << Simulator::Now().GetSeconds() << “s, Signal Power: ” << signalPower

<< ” dBm, Noise Power: ” << noisePower << ” dBm, SNR: ” << snr << ” dB”);

Simulator::Schedule(Seconds(1.0), &MonitorSNR, wifiPhy);

}

int main(int argc, char *argv[]) {

CommandLine cmd;

cmd.Parse(argc, argv);

// Create nodes

NodeContainer nodes;

nodes.Create(2);

// Configure WiFi

YansWifiChannelHelper wifiChannel = YansWifiChannelHelper::Default();

YansWifiPhyHelper wifiPhy = YansWifiPhyHelper::Default();

wifiPhy.SetChannel(wifiChannel.Create());

WifiHelper wifi;

wifi.SetStandard(WIFI_PHY_STANDARD_80211g);

WifiMacHelper mac;

mac.SetType(“ns3::AdhocWifiMac”);

NetDeviceContainer devices = wifi.Install(wifiPhy, mac, nodes);

// Configure mobility

MobilityHelper mobility;

mobility.SetPositionAllocator(“ns3::RandomRectanglePositionAllocator”,

“X”, StringValue(“ns3::UniformRandomVariable[Min=0.0|Max=100.0]”),

“Y”, StringValue(“ns3::UniformRandomVariable[Min=0.0|Max=100.0]”));

mobility.SetMobilityModel(“ns3::ConstantPositionMobilityModel”);

mobility.Install(nodes);

// Install Internet stack

InternetStackHelper internet;

internet.Install(nodes);

// Assign IP addresses

Ipv4AddressHelper address;

address.SetBase(“10.1.1.0”, “255.255.255.0”);

Ipv4InterfaceContainer interfaces = address.Assign(devices);

// Configure applications

UdpEchoServerHelper server(9);

ApplicationContainer serverApp = server.Install(nodes.Get(1));

serverApp.Start(Seconds(1.0));

serverApp.Stop(Seconds(10.0));

UdpEchoClientHelper client(interfaces.GetAddress(1), 9);

client.SetAttribute(“MaxPackets”, UintegerValue(100));

client.SetAttribute(“Interval”, TimeValue(MilliSeconds(100)));

client.SetAttribute(“PacketSize”, UintegerValue(1024));

ApplicationContainer clientApp = client.Install(nodes.Get(0));

clientApp.Start(Seconds(2.0));

clientApp.Stop(Seconds(10.0));

// Attach monitor to the PHY layer of the first node

Ptr<WifiNetDevice> wifiDevice = DynamicCast<WifiNetDevice>(devices.Get(0));

Ptr<WifiPhy> phy = wifiDevice->GetPhy();

// Schedule SNR monitoring

Simulator::Schedule(Seconds(1.0), &MonitorSNR, phy);

Simulator::Run();

Simulator::Destroy();

return 0;

}

Explanation of the Script

1. Signal and Noise Power:
   • GetRxPower() recovers the received signal power.
   • GetNoiseFigure() provides the noise power in the receiver.
2. SNR Calculation:
   • The SNR is designed using the formula: SNR (dB)=10⋅log⁡10(Signal PowerNoise Power)\text{SNR (dB)} = 10 \cdot \log_{10}\left(\frac{\text{Signal Power}}{\text{Noise Power}}\right)SNR (dB)=10⋅log10​(Noise PowerSignal Power​)
3. Periodic Monitoring:
   • The script allocates the periodic SNR logging at 1-second intervals.
4. WiFi Configuration:
   • Setting an ad-hoc WiFi network for the replication.

5. Run the Simulation

1. Generate the script:

./waf –run “snr-monitor-example”

1. Detect the records for SNR values, signal power, and noise power.

In the conclusion we had successfully calculated the basic network with Signal-to-Noise Ratio in ns3 simulation by generating the model to run the SNR values in different network conditions. Similarly, we offer more related information on Signal-to-Noise Ratio.