To calculate the network aggregate utility in ns3, that calculating the overall utility resultant from the network’s performance, usually by use an utility function that quantifies user satisfaction or network efficiency based on metrics like throughput, delay, and packet loss.
In this we use numerous utility function however a general technique to a logarithmic utility function based on throughput that replicates to reduce the returns on increases throughput.
Step-by-Step Guide to Calculate Network Aggregate Utility in ns3
- Set Up the Simulation Environment:
- Download and configure the ns3 in the computer
- Take in essential modules in the simulation (e.g., LTE, EPC, Internet).
- Create Network Topology:
- Define nodes for the eNodeBs (base stations) and UEs.
- Set up the cellular network with appropriate configurations.
- Configure Applications:
- Install traffic generating applications (e.g., UDP, TCP) on the UEs.
- Enable Tracing and Metrics Collection:
- To capture relevant metrics such as throughput for each UE by assist tracing.
- Run the Simulation:
- Execute the simulation and collect the trace data.
- Calculate Utility:
- Define a utility function.
- Post-process the trace data to calculate the utility for each UE and sum these to get the aggregate utility.
Example Code Snippet
Here is a sample setup how to implement the LTE network, generate traffic, and calculate the aggregate utility for the network:
#include “ns3/core-module.h”
#include “ns3/network-module.h”
#include “ns3/internet-module.h”
#include “ns3/point-to-point-module.h”
#include “ns3/applications-module.h”
#include “ns3/lte-module.h”
#include “ns3/epc-helper.h”
#include “ns3/mobility-module.h”
#include “ns3/flow-monitor-module.h”
using namespace ns3;
NS_LOG_COMPONENT_DEFINE (“LteAggregateUtilityExample”);
double UtilityFunction (double throughput)
{
// Logarithmic utility function
return std::log(1 + throughput);
}
int main (int argc, char *argv[])
{
// Set up logging
LogComponentEnable (“UdpClient”, LOG_LEVEL_INFO);
LogComponentEnable (“UdpServer”, LOG_LEVEL_INFO);
// Create LTE network nodes
NodeContainer ueNodes;
NodeContainer enbNodes;
ueNodes.Create (10);
enbNodes.Create (3);
// Install Mobility model
MobilityHelper mobility;
mobility.SetMobilityModel (“ns3::ConstantPositionMobilityModel”);
mobility.Install (enbNodes);
mobility.SetPositionAllocator (“ns3::GridPositionAllocator”,
“MinX”, DoubleValue (0.0),
“MinY”, DoubleValue (0.0),
“DeltaX”, DoubleValue (50.0),
“DeltaY”, DoubleValue (50.0),
“GridWidth”, UintegerValue (3),
“LayoutType”, StringValue (“RowFirst”));
mobility.Install (ueNodes);
// Create LTE helper and EPC helper
Ptr<LteHelper> lteHelper = CreateObject<LteHelper> ();
Ptr<PointToPointEpcHelper> epcHelper = CreateObject<PointToPointEpcHelper> ();
lteHelper->SetEpcHelper (epcHelper);
// Install LTE devices to the nodes
NetDeviceContainer enbLteDevs = lteHelper->InstallEnbDevice (enbNodes);
NetDeviceContainer ueLteDevs = lteHelper->InstallUeDevice (ueNodes);
// Install Internet stack on UEs
InternetStackHelper internet;
internet.Install (ueNodes);
// Assign IP addresses to UEs
Ipv4InterfaceContainer ueIpIface;
ueIpIface = epcHelper->AssignUeIpv4Address (NetDeviceContainer (ueLteDevs));
// Attach UEs to eNodeBs
for (uint32_t i = 0; i < ueNodes.GetN (); ++i)
{
lteHelper->Attach (ueLteDevs.Get (i), enbLteDevs.Get (i % enbNodes.GetN ()));
}
// Install and start applications on UEs and remote host
uint16_t dlPort = 1234;
ApplicationContainer clientApps;
ApplicationContainer serverApps;
for (uint32_t i = 0; i < ueNodes.GetN (); ++i)
{
UdpServerHelper myServer (dlPort);
serverApps.Add (myServer.Install (ueNodes.Get (i)));
UdpClientHelper myClient (ueIpIface.GetAddress (i), dlPort);
myClient.SetAttribute (“MaxPackets”, UintegerValue (1000));
myClient.SetAttribute (“Interval”, TimeValue (MilliSeconds (100)));
myClient.SetAttribute (“PacketSize”, UintegerValue (1024));
clientApps.Add (myClient.Install (ueNodes.Get (i)));
}
serverApps.Start (Seconds (1.0));
serverApps.Stop (Seconds (10.0));
clientApps.Start (Seconds (2.0));
clientApps.Stop (Seconds (10.0));
// Set up FlowMonitor to collect performance metrics
FlowMonitorHelper flowmon;
Ptr<FlowMonitor> monitor = flowmon.InstallAll ();
// Run the simulation
Simulator::Stop (Seconds (11.0));
Simulator::Run ();
// Calculate aggregate utility for the network
monitor->CheckForLostPackets ();
Ptr<Ipv4FlowClassifier> classifier = DynamicCast<Ipv4FlowClassifier> (flowmon.GetClassifier ());
std::map<FlowId, FlowMonitor::FlowStats> stats = monitor->GetFlowStats ();
double aggregateUtility = 0.0; // Aggregate utility
for (std::map<FlowId, FlowMonitor::FlowStats>::const_iterator i = stats.begin (); i != stats.end (); ++i)
{
double throughput = i->second.rxBytes * 8.0 /
(i->second.timeLastRxPacket.GetSeconds () – i->second.timeFirstRxPacket.GetSeconds ()) / 1000 / 1000;
double utility = UtilityFunction(throughput);
aggregateUtility += utility;
}
NS_LOG_UNCOND (“Network Aggregate Utility: ” << aggregateUtility);
// Clean up
Simulator::Destroy ();
return 0;
}
Explanation:
- Setup Logging:
- Enable logging for the UDP applications to track their activities.
- Create Nodes and Network:
- Create nodes representing UEs and eNodeBs.
- Configure mobility models for UEs and eNodeBs.
- Install LTE and EPC Helper:
- Create and configure LTE and EPC helpers.
- Install LTE devices on the UEs and eNodeBs.
- Install Internet Stack:
- Install the Internet stack on UEs.
- Assign IP addresses to the UEs.
- Attach UEs to eNodeBs:
- Attach each UE to an eNodeB. Here, a round-robin attachment is used for simplicity.
- Install Applications:
- Install UDP server applications on the UEs.
- Install UDP client applications on the UEs, sending traffic to the server.
- Flow Monitor:
- Set up a FlowMonitor to collect and analyze flow statistics.
- Run Simulation:
- Run the simulation for the specified duration.
- Calculate Aggregate Utility:
- After the simulation, extract the flow statistics.
- Calculate the throughput for each flow.
- Apply the utility function to each flow’s throughput and sum the utility values to get the aggregate utility.
Utility Function:
- A logarithmic utility function is used to reflect diminishing returns on increased throughput: Utility=log(1+Throughput)\text{Utility} = \log(1 + \text{Throughput})Utility=log(1+Throughput)
Analyzing the Results:
- Aggregate Utility:
- The aggregate utility is calculated by summing the utility of each flow’s throughput.
- This metric provides an overall measure of network performance and user satisfaction.
Network Aggregate utility used to quantifies user satisfaction, network efficiency based on metrics like throughput that were estimated by total of utility in each flow that integrated and implemented in ns3.
If you need further details about how the network utility performs in other tools you an get guidance from ns3simulation.com , we share best project performance on network aggregate utility.