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How to Implement network Channel Rate Adaptation in ns3

To implement network channel rate adaptation in ns3, by using rate adaptation algorithms which is offered by ns3 such as ConstantRateWifiManager, MinstrelWifiManager, and AarfWifiManager. This algorithm works under the current channel condition to adjust the data transmission rate. The following steps will guide on how to implement the network channel rate adaptation in ns3.

Step-by-step guide to implement network channel rate adaptation  in ns3:

  1. Set Up ns3 Environment

Make sure ns3 is installed on the system

  1. Create a New Simulation Script

Create a new C++ script for the simulation process. For this example, we will use C++.

  1. Include Necessary Headers

Include the necessary ns3 headers in the script.

#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”

#include “ns3/flow-monitor-module.h”

4. Define the Network Topology

Set up the basic network topology, including nodes, devices, and links.

using namespace ns3;

 

NS_LOG_COMPONENT_DEFINE (“RateAdaptationExample”);

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

CommandLine cmd;

cmd.Parse (argc, argv);

// Create nodes

NodeContainer wifiStaNodes;

wifiStaNodes.Create (2);

NodeContainer wifiApNode;

wifiApNode.Create (1);

// Set up Wi-Fi

YansWifiChannelHelper channel = YansWifiChannelHelper::Default ();

YansWifiPhyHelper phy = YansWifiPhyHelper::Default ();

phy.SetChannel (channel.Create ());

WifiHelper wifi;

wifi.SetStandard (WIFI_STANDARD_80211n);

// Choose the rate adaptation algorithm

std::string rateAdaptationAlgorithm = “ns3::AarfWifiManager”;

wifi.SetRemoteStationManager (rateAdaptationAlgorithm);

WifiMacHelper mac;

Ssid ssid = Ssid (“ns3-wifi”);

mac.SetType (“ns3::StaWifiMac”, “Ssid”, SsidValue (ssid));

NetDeviceContainer staDevices = wifi.Install (phy, mac, wifiStaNodes);

 

mac.SetType (“ns3::ApWifiMac”, “Ssid”, SsidValue (ssid));

NetDeviceContainer apDevice = wifi.Install (phy, mac, wifiApNode);

// Install the internet stack

InternetStackHelper stack;

stack.Install (wifiApNode);

stack.Install (wifiStaNodes);

Ipv4AddressHelper address;

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

Ipv4InterfaceContainer staInterfaces = address.Assign (staDevices);

Ipv4InterfaceContainer apInterface = address.Assign (apDevice);

// Set mobility

MobilityHelper mobility;

mobility.SetPositionAllocator (“ns3::GridPositionAllocator”,

“MinX”, DoubleValue (0.0),

“MinY”, DoubleValue (0.0),

“DeltaX”, DoubleValue (5.0),

“DeltaY”, DoubleValue (10.0),

“GridWidth”, UintegerValue (3),

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

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

mobility.Install (wifiStaNodes);

mobility.Install (wifiApNode);

 

// Install applications

uint16_t port = 5000;

Address sinkAddress (InetSocketAddress (apInterface.GetAddress (0), port));

PacketSinkHelper packetSinkHelper (“ns3::UdpSocketFactory”, sinkAddress);

ApplicationContainer sinkApp = packetSinkHelper.Install (wifiApNode.Get (0));

sinkApp.Start (Seconds (1.0));

sinkApp.Stop (Seconds (10.0));

OnOffHelper onOffHelper (“ns3::UdpSocketFactory”, sinkAddress);

onOffHelper.SetAttribute(“OnTime”,StringValue (“ns3::ConstantRandomVariable[Constant=1]”));

onOffHelper.SetAttribute(“OffTime”,StringValue (“ns3::ConstantRandomVariable[Constant=0]”));

onOffHelper.SetAttribute (“DataRate”, DataRateValue (DataRate (“1Mbps”)));

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

ApplicationContainer clientApps = onOffHelper.Install (wifiStaNodes.Get (0));

clientApps.Start (Seconds (2.0));

clientApps.Stop (Seconds (10.0));

// Set up flow monitor

FlowMonitorHelper flowmon;

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

// Enable pcap tracing

phy.EnablePcap (“rate-adaptation”, staDevices.Get (0));

 

// Run simulation

Simulator::Stop (Seconds (10.0));

Simulator::Run ();

// Print flow monitor statistics

monitor->CheckForLostPackets ();

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

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

for (std::map<FlowId, FlowMonitor::FlowStats>::const_iterator i = stats.begin (); i != stats.end (); ++i) {

Ipv4FlowClassifier::FiveTuple t = classifier->FindFlow (i->first);

NS_LOG_UNCOND (“Flow ” << i->first << ” (” << t.sourceAddress << ” -> ” << t.destinationAddress << “)”);

NS_LOG_UNCOND (”  Tx Bytes:   ” << i->second.txBytes);

NS_LOG_UNCOND (”  Rx Bytes:   ” << i->second.rxBytes);

NS_LOG_UNCOND (”  Throughput: ” << i->second.rxBytes * 8.0 / (i->second.timeLastRxPacket.GetSeconds () – i->second.timeFirstTxPacket.GetSeconds ()) / 1024 << ” Kbps”);

}

Simulator::Destroy ();

return 0;

}

Explanation

  • Network Topology: The script sets up a Wi-Fi network with two STA nodes and one AP node.
  • Wi-Fi Setup: The Wi-Fi network uses the 802.11n standard. The rate adaptation algorithm is set using SetRemoteStationManager.
  • Rate Adaptation Algorithm: The rateAdaptationAlgorithm variable can be set to “ns3::AarfWifiManager”, “ns3::MinstrelWifiManager”, or other available algorithms to choose the desired rate adaptation mechanism.
  • Applications: To generate UDP traffic to the AP node, OnOff applications are installed on one STA node. A PacketSink application is installed on the AP node to receive the traffic.
  • Flow Monitor: FlowMonitor is used to collect network statistics, which are printed at the end of the simulation.
  • PCAP Tracing: For analysis PCAP tracing is enabled to capture packets.

5. Build and Run the Script

Save the script and build it using the ns3 build system (waf).

./waf configure

./waf build

./waf –run rate-adaptation

Extending the Example

To include more complex scenarios we can extend this example, such as:

  • Dynamic Mobility: During the simulation to observe how the rate adaptation algorithm responds to changing conditions mobility models that move nodes has to be included.
  • Multiple Flows: To simulate multiple concurrent flows and see how the rate adaptation algorithm handles varying loads we need to add more applications.
  • Different Traffic Patterns: Use different traffic generators (e.g., TCP traffic) to study the performance under various conditions.
  • Custom Rate Adaptation Algorithms: By extending the WifiRemoteStationManager class, implement and test custom rate adaptation algorithms.

An example given on how to introduce dynamic mobility:

// Set dynamic mobility

mobility.SetMobilityModel (“ns3::RandomWalk2dMobilityModel”,

“Bounds”, RectangleValue (Rectangle (-50, 50, -50, 50)));

mobility.Install (wifiStaNodes);

From this examples and steps given we can completely understand the implementation process of network channel rate adaptation by using the rate adaption algorithms, On Off applications, Flow monitor and pcap tracing which are included in this process.

Get our services with network Channel Rate Adaptation in ns3 and provide implementation support. Keep in touch with us for your networking performance analysis results. Just send us the necessary details of your project. We specialize in algorithms like ConstantRateWifiManager, MinstrelWifiManager, and AarfWifiManager and guide in  your projects.