How to Begin Implement Network Spectral Bandwidth in NS3

To implement and examine the Network Spectral Bandwidth in ns-3, follow these steps. Spectral bandwidth suggest to the frequency range used for data transmission and is frequently tied the wireless network for channel bandwidth.

Steps to Begin Implement Network Spectral Bandwidth in NS3

1. Understand Spectral Bandwidth

Spectral bandwidth describes the range for frequencies used through a network channel. In wireless communication, spectral bandwidth impacts:

• Throughput: An extensive bandwidth helps for higher data rates.
• Spectral Efficiency: Calculate the bits are forwarded in per second per Hertz (bps/Hz).

For a channel by bandwidth BBB, the achievable data rate is approximately:

R=B⋅log⁡2(1+SINR)R = B \cdot \log_2(1 + \text{SINR})R=B⋅log2​(1+SINR)

2. Set Up Your Environment

Assure the tool ns3 is installed and setting. Use components such as Wi-Fi, LTE, or 5G for wireless spectral bandwidth analysis.

3. Create a Network Topology

Example: Wireless Network Topology

NodeContainer nodes;

nodes.Create(2); // One transmitter and one receiver

MobilityHelper mobility;

mobility.SetPositionAllocator(“ns3::GridPositionAllocator”,

“MinX”, DoubleValue(0.0),

“MinY”, DoubleValue(0.0),

“DeltaX”, DoubleValue(50.0),

“DeltaY”, DoubleValue(50.0),

“GridWidth”, UintegerValue(2),

“LayoutType”, StringValue(“RowFirst”));

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

mobility.Install(nodes);

YansWifiChannelHelper channel = YansWifiChannelHelper::Default();

YansWifiPhyHelper phy = YansWifiPhyHelper::Default();

phy.SetChannel(channel.Create());

WifiHelper wifi;

wifi.SetStandard(WIFI_PHY_STANDARD_80211n);

WifiMacHelper mac;

mac.SetType(“ns3::AdhocWifiMac”);

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

4. Configure Spectral Bandwidth

For PHY layer set-up the spectral bandwidth.

Wi-Fi Example

Configure the channel width (bandwidth):

phy.Set(“ChannelWidth”, UintegerValue(20)); // 20 MHz channel

LTE Example

Use the LTE component and setting the bandwidth:

lteHelper->SetEnbDeviceAttribute(“DlBandwidth”, UintegerValue(50)); // 50 Resource Blocks (10 MHz)

lteHelper->SetUeDeviceAttribute(“DlBandwidth”, UintegerValue(50));

5. Set up the Internet Stack

Install the Internet stack for IP-based transmission:

InternetStackHelper stack;

stack.Install(nodes);

Ipv4AddressHelper address;

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

Ipv4InterfaceContainer interfaces = address.Assign(devices);

6. Generate Traffic

Install applications for replicate the congestion.

Example: UDP Traffic

UdpEchoServerHelper echoServer(9);

ApplicationContainer serverApps = echoServer.Install(nodes.Get(1)); // Receiver

serverApps.Start(Seconds(1.0));

serverApps.Stop(Seconds(10.0));

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

echoClient.SetAttribute(“MaxPackets”, UintegerValue(1000));

echoClient.SetAttribute(“Interval”, TimeValue(Seconds(0.01))); // 10ms interval

echoClient.SetAttribute(“PacketSize”, UintegerValue(1024)); // 1KB packets

ApplicationContainer clientApps = echoClient.Install(nodes.Get(0)); // Transmitter

clientApps.Start(Seconds(2.0));

clientApps.Stop(Seconds(10.0));

7. Measure Bandwidth Utilization

Monitor Throughput

Use to follow the throughput FlowMonitor:

FlowMonitorHelper flowmon;

Ptr<FlowMonitor> monitor = flowmon.InstallAll();

Simulator::Stop(Seconds(10.0));

Simulator::Run();

monitor->CheckForLostPackets();

Ptr<Ipv4FlowClassifier> classifier = DynamicCast<Ipv4FlowClassifier>(flowmon.GetClassifier());

std::map<FlowId, FlowMonitor::FlowStats> stats = monitor->GetFlowStats();

for (auto& flow : stats) {

double throughput = flow.second.rxBytes * 8.0 / (flow.second.timeLastRxPacket.GetSeconds() – flow.second.timeFirstTxPacket.GetSeconds()); // bps

std::cout << “Flow ” << flow.first << ” Throughput: ” << throughput / 1e6 << ” Mbps\n”;

}

Calculate Bandwidth Utilization

If the channel bandwidth is BBB:

double spectralEfficiency = throughput / (20e6); // For a 20 MHz channel

std::cout << “Spectral Efficiency: ” << spectralEfficiency << ” bps/Hz\n”;

8. Enable Tracing

Packet-Level Tracing

Ensure the packet tracing for further analysis:

AsciiTraceHelper ascii;

phy.EnableAsciiAll(ascii.CreateFileStream(“spectral_bandwidth.tr”));

PCAP Tracing

Make a PCAP files for Wireshark analysis:

phy.EnablePcapAll(“spectral_bandwidth”);

9. Visualize Results

• Distribute the throughput and bandwidth data for a file plotting the MATLAB or Excel.
• Use to envision the network performance such as NetAnim:

AnimationInterface anim(“spectral_bandwidth.xml”);

10. Experiment with Parameters

• Channel Width: Validate through 20 MHz, 40 MHz, or other values.
• Traffic Load: Differ for packet sizes and forwarding the intervals.
• Interference: Enhance the interferer nodes for estimate the effect on bandwidth.

11. Run the Simulation

It follows the process for outcomes:

Simulator::Run();

Simulator::Destroy();

We validate how the spectral effectiveness implemented using the ns3 tool that has define and state the network topology and generate the custom modules then observe the data rate and finally compute the spectral bandwidth. We also deliver the further information concerning the spectral bandwidth.