To implement the network carrier aggregation in ns3, with help of LTE module we can combine the various frequency bands to help us increase the overall data throughput. If we want to optimize the network performance we need to use the key feature called Carrier aggregation in LTE-Advanced (LTE-A).
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In this script, we provide the step-by-step procedure to help you set up a network simulation with carrier aggregation in ns3.
Step-by-Step Implementation:
Step 1: Install ns3
Make certain, you have ns3 installed on your system.
Step 2: Set Up the Simulation Environment
Create a new simulation script or modify an existing one. This script will define the network topology, nodes, and communication channels.
Step 3: Define Network Topology
Create nodes and define the network topology, focusing on the eNodeBs and UEs. Here’s we provide a sample of setting up an LTE network with carrier aggregation.
#include “ns3/core-module.h”
#include “ns3/network-module.h”
#include “ns3/internet-module.h”
#include “ns3/mobility-module.h”
#include “ns3/lte-module.h”
#include “ns3/applications-module.h”
#include “ns3/flow-monitor-module.h”
using namespace ns3;
NS_LOG_COMPONENT_DEFINE (“CarrierAggregationExample”);
int main (int argc, char *argv[])
{
// Enable logging
LogComponentEnable (“CarrierAggregationExample”, LOG_LEVEL_INFO);
// Create nodes
NodeContainer ueNodes;
ueNodes.Create (20); // Example with 20 user equipment nodes
NodeContainer enbNodes;
enbNodes.Create (3); // Example with 3 eNodeB nodes (base stations)
// Set up LTE and EPC (Evolved Packet Core)
Ptr<LteHelper> lteHelper = CreateObject<LteHelper> ();
Ptr<PointToPointEpcHelper> epcHelper = CreateObject<PointToPointEpcHelper> ();
lteHelper->SetEpcHelper (epcHelper);
// Configure carrier aggregation
lteHelper->SetAttribute (“UseCa”, BooleanValue (true));
lteHelper->SetEnbAntennaModelType (“ns3::IsotropicAntennaModel”);
lteHelper->SetEnbAntennaModelAttribute (“Gain”, DoubleValue (0));
// Set up primary and secondary carriers
std::vector<BandInfo> bandInfoList;
BandInfo primaryBand;
primaryBand.bandId = 1;
primaryBand.dlFreq = 2110e6; // 2.110 GHz
primaryBand.ulFreq = 1920e6; // 1.920 GHz
primaryBand.bandwidth = 20e6; // 20 MHz
bandInfoList.push_back(primaryBand);
BandInfo secondaryBand;
secondaryBand.bandId = 2;
secondaryBand.dlFreq = 2620e6; // 2.620 GHz
secondaryBand.ulFreq = 2500e6; // 2.500 GHz
secondaryBand.bandwidth = 20e6; // 20 MHz
bandInfoList.push_back(secondaryBand);
lteHelper->SetAttribute (“BandInfoList”, BandInfoListValue(bandInfoList));
// Install LTE Devices to the nodes
NetDeviceContainer enbLteDevs = lteHelper->InstallEnbDevice (enbNodes);
NetDeviceContainer ueLteDevs = lteHelper->InstallUeDevice (ueNodes);
// Install the IP stack on the UEs
InternetStackHelper internet;
internet.Install (ueNodes);
// Assign IP addresses to UEs
Ipv4InterfaceContainer ueIpIface;
ueIpIface = epcHelper->AssignUeIpv4Address (NetDeviceContainer (ueLteDevs));
// Attach UEs to the eNodeBs
for (uint32_t i = 0; i < ueNodes.GetN (); i++)
{
lteHelper->Attach (ueLteDevs.Get (i), enbLteDevs.Get (i % enbNodes.GetN ()));
}
// Set mobility model
MobilityHelper mobility;
mobility.SetMobilityModel (“ns3::ConstantPositionMobilityModel”);
mobility.Install (enbNodes);
mobility.SetPositionAllocator (“ns3::RandomBoxPositionAllocator”,
“X”, StringValue (“ns3::UniformRandomVariable[Min=0.0|Max=500.0]”),
“Y”, StringValue (“ns3::UniformRandomVariable[Min=0.0|Max=500.0]”),
“Z”, StringValue (“ns3::UniformRandomVariable[Min=0.0|Max=1.5]”));
mobility.SetMobilityModel (“ns3::RandomWaypointMobilityModel”,
“Speed”, StringValue (“ns3::UniformRandomVariable[Min=1.0|Max=20.0]”),
“Pause”, StringValue (“ns3::ConstantRandomVariable[Constant=2.0]”),
“PositionAllocator”, StringValue (“ns3::RandomBoxPositionAllocator”));
mobility.Install (ueNodes);
// Install and start applications on UEs and remote host
uint16_t dlPort = 1234;
ApplicationContainer clientApps;
ApplicationContainer serverApps;
UdpClientHelper dlClient (ueIpIface.GetAddress (0), dlPort);
dlClient.SetAttribute (“Interval”, TimeValue (MilliSeconds (10)));
dlClient.SetAttribute (“MaxPackets”, UintegerValue (1000000));
clientApps.Add (dlClient.Install (ueNodes.Get (0)));
PacketSinkHelper dlPacketSinkHelper (“ns3::UdpSocketFactory”, InetSocketAddress (Ipv4Address::GetAny (), dlPort));
serverApps.Add (dlPacketSinkHelper.Install (ueNodes.Get (0)));
serverApps.Start (Seconds (0.01));
clientApps.Start (Seconds (0.01));
// Set up FlowMonitor
FlowMonitorHelper flowmon;
Ptr<FlowMonitor> monitor = flowmon.InstallAll ();
// Set up the simulation
Simulator::Stop (Seconds (10.0));
Simulator::Run ()
// Print 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 Packets: ” << i->second.txPackets);
NS_LOG_UNCOND (” Tx Bytes: ” << i->second.txBytes);
NS_LOG_UNCOND (” Rx Packets: ” << i->second.rxPackets);
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 / 1024 << ” Mbps”);
}
// Clean up
Simulator::Destroy ();
return 0;
}
Step 4: Configure Carrier Aggregation
In the above example, we use the lteHelper->SetAttribute (“UseCa”, BooleanValue (true)); to enable the Carrier Aggregation. First, we need to setting up BandInfo objects by describing the primary and secondary carriers and then assigning them to the BandInfoList.
Step 5: Set Up Mobility Models
In the example, we can use the RandomWaypointMobilityModel in UEs to simulate movement. As per the requirement, the mobility model and parameters (speed, pause, position) can be adjusted.
Step 6: Set Up Traffic Generation
In the example, a UDP client and server application is set up to simulate data traffic. The client sends packets to the server at regular intervals.
Step 7: Monitor and Analyze Performance
By using the FlowMonitor module, we collect and analyze performance metrics includes throughput, packet loss, and delay. Once the simulation is ended, this information can be printed out.
Step 8: Run the Simulation
Compile and run your simulation script to see the effect of carrier aggregation on network performance. The output will include statistics such as the number of packets transmitted and received, throughput, and any packet loss.
Finally, we can now understand the process of implementing the network carrier aggregation in ns3 tool. If needed, we will provide the additional information regarding the carrier aggregation in the network.