Simulation of 5G networks using an ns-3 simulator is considered as an intriguing as well as important process. Best simulation support will be given from hands of phdservices.org developers, our team provides brief explanation so that you can be confident in your paper. Send us all your queries we will provide you tailored services. The following is an extensive instruction based on how to carry out this simulation process with mmWave module and ns-3, which assist you in an efficient manner: 

Step 1: Install ns-3 and the mmWave Module

1. Download and Install ns-3: First, you must make sure that you have installed ns-3 on your system. Directly from the authorized ns-3 website, you can download ns-3.
2. Clone the mmWave Module: It is approachable to copy the mmWave module repository, especially when you are considering mmWave interaction for 5G.

git clone https://github.com/signetlabdei/mmwave.git 

3. Construct ns-3 with the mmWave Module: After that, direct to the ns-3 file. By using mmWave module, construct ns-3.

cd ns-3-allinone

./download.py

cd ns-3-dev

./waf configure –enable-examples –enable-tests

./waf build

Step 2: Develop a Simulation Script

To configure your 5G network simulation, alter the previous simulation script or develop a novel one. 

Instance of Simulation Script

Consider the following simple instance that depicts the 5G network simulation script with the mmWave module, specifically in C++ language:

#include “ns3/core-module.h”

#include “ns3/network-module.h”

#include “ns3/internet-module.h”

#include “ns3/point-to-point-module.h”

#include “ns3/mobility-module.h”

#include “ns3/mmwave-helper.h”

#include “ns3/mmwave-module.h”

#include “ns3/applications-module.h”

using namespace ns3;

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

{

    double simTime = 10.0;

    uint16_t numUeNodes = 2;

    uint16_t numEnbNodes = 1;

    // Create nodes

    NodeContainer ueNodes;    ueNodes.Create(numUeNodes);    NodeContainer enbNodes;    enbNodes.Create(numEnbNodes);

    // Set up the mobility model

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

    mobility.Install(ueNodes);

    mobility.Install(enbNodes);

    // Set up the mmWave helper

    Ptr<MmWaveHelper> mmwaveHelper = CreateObject<MmWaveHelper>();

    mmwaveHelper->SetSchedulerType(“ns3::MmWaveFlexTtiMaxWeightMacScheduler”);

    // Install mmWave devices on the nodes

    NetDeviceContainer enbDevices = mmwaveHelper->InstallEnbDevice(enbNodes);

    NetDeviceContainer ueDevices = mmwaveHelper->InstallUeDevice(ueNodes);

    // Attach the UEs to the eNB

    mmwaveHelper->AttachToClosestEnb(ueDevices, enbDevices);

    // Set up the Internet stack

    InternetStackHelper internet;

    internet.Install(ueNodes);

    internet.Install(enbNodes);

    // Assign IP addresses

    Ipv4AddressHelper ipv4;

    ipv4.SetBase(“7.0.0.0”, “255.0.0.0”);

    Ipv4InterfaceContainer enbIpIfaces = ipv4.Assign(enbDevices);

    Ipv4InterfaceContainer ueIpIfaces = ipv4.Assign(ueDevices);

    // Set up applications

    uint16_t dlPort = 1234;

    OnOffHelper onOffHelper(“ns3::UdpSocketFactory”, InetSocketAddress(ueIpIfaces.GetAddress(0), dlPort));    onOffHelper.SetConstantRate(DataRate(“100Mbps”));

    ApplicationContainer clientApps = onOffHelper.Install(enbNodes.Get(0));    clientApps.Start(Seconds(1.0));    clientApps.Stop(Seconds(simTime));

    PacketSinkHelper packetSinkHelper(“ns3::UdpSocketFactory”, InetSocketAddress(Ipv4Address::GetAny(), dlPort));

    ApplicationContainer serverApps = packetSinkHelper.Install(ueNodes.Get(0));    serverApps.Start(Seconds(1.0));

    serverApps.Stop(Seconds(simTime));

    // Enable tracing

    mmwaveHelper->EnableTraces();

    // Run the simulation    Simulator::Stop(Seconds(simTime));

    Simulator::Run();

    Simulator::Destroy();

    return 0;

}

Step 3: Construct and Execute the Simulation

1. Save the Script: In the scratch file of your ns-3 installation, the above specified script has to be saved as mmwave-simulation.cc.
2. Construct the Simulation: For the compilation of your script, utilize the waf build system.

./waf build

3. Execute the Simulation: Employ the below specified command to run the script.

./waf –run scratch/mmwave-simulation

Step 4: Analyze the Results

1. Facilitate Tracing: To gather in-depth simulation data, you need to make sure that the tracing is facilitated in your script.

mmwaveHelper->EnableTraces();

2. Gather Performance Metrics: Several performance metrics like energy utilization, packet loss, latency, and throughput are offered by NetSim. By means of the built-in analysis tools, evaluate these potential metrics.
3. Examine Outcomes: For examining the 5G network’s performance, utilize the trace directories that are produced by the simulation. To carry out in-depth analysis and visualization, you can employ efficient tools such as Python, MATLAB, or Wireshark.

Performance Analysis Metrics

1. Throughput: In a specific time period, the number of data which are shared through the network efficiently has to be evaluated. Generally, the throughput is assessed in bits per second (bps).
2. Latency: To move from the source to the destination, the time that is required for a packet is assessed. Processing delay, transmission delay, and propagation delay could be encompassed.
3. Packet Loss: The total count of packets which are lost at the time of sharing is evaluated in this metric. For analyzing the network credibility, this metric is considered as very crucial.
4. Energy Utilization: At the time of simulation, the total energy that is utilized by the network nodes is evaluated in energy consumption metric. To assess the effectiveness of energy-efficient approaches, this metric is most significant.

What are the Modules for ns3 5g simulation?

For the simulation of 5G networks in ns-3 simulator, several modules are suitable. Appropriate for 5G simulations in ns-3, we suggest some of the major modules, along with their efficient capabilities, characteristics and repositories to consider: 

Major Modules for ns-3 5G Simulation

1. mmWave Module

• Capability: To simulate the major phase of 5G networks like millimeter-wave (mmWave) communications, the mmWave module offers the essential elements. For various processes like mmWave propagation, channel estimation, beamforming, and others, it encompasses efficient frameworks.
• Characteristics:
• It provides assistance for mmWave physical layer.
• Appropriate for mmWave frequencies, it offers channel models.
• Planning and MAC layer improvements.
• Beamforming and antenna array frameworks.
• Relevant Repository: mmWave module on GitHub.

2. NR Module (New Radio)

• Capability: For assisting the new radio (NR) factors of 5G, the NR module in ns-3 is specifically modeled. It also supports various characteristics such as innovative MAC scheduling, dynamic TDD, and adaptable numerology.
• Characteristics:
• Improved planning methods.
• Adaptable numerology settings.
• Assistance for 3GPP NR requirements.
• Support for dynamic TDD
• Relevant Repository: ns-3 NR module.

3. LTE Module (Long Term Evolution)

• Capability: In order to simulate 4G LTE networks, the LTE module offers efficient capabilities. To assist 5G characteristics such as LTE-A Pro, these capabilities can be expanded.
• Characteristics:
• Enables interaction with other network topologies.
• EPC (Evolved Packet Core) elements.
• eNodeB and UE frameworks.
• Capabilities of MAC and PHY layer.
• Relevant Repository: ns-3 LTE module.

4. LENA (LTE-EPC Network Simulator)

• Capability: For 5G network simulations, LENA can be utilized as a basic aspect. It is incorporated into ns-3, and created by the CTTC. This is generally considered as an extensive LTE-EPC network simulator.
• Characteristics:
• Assistance for different LTE contexts and settings.
• Offers elaborate LTE and EPC simulation functionalities.
• For 5G simulations, it enables combination with the NR module.
• Relevant Repository: LENA on CTTC.

5. Wave Module

• Capability: The Wireless Access in Vehicular Environments (WAVE) is assisted by the Wave module. For the simulations of 5G vehicular communication (V2X), it is highly crucial.
• Characteristics:
• Provides assistance for V2I and V2V interactions.
• WAVE/DSRC stack application.
• For extensive simulations, it allows incorporation with other ns-3 modules.
• Relevant Repository: ns-3 Wave module.

Utilizing the Modules for 5G Simulation

These modules have to be combined into your ns-3 platform, if you are planning to use them for a 5G simulation. Consider the fundamental operations: 

1. Download and Install ns-3:

• To download and install ns-3, adhere to the guidelines that are specified on the ns-3 website.

2. Clone the Necessary Modules:

• Particularly from the official repositories, clone the NR and mmWave modules.

git clone https://github.com/signetlabdei/mmwave.git

3. Construct ns-3 with the Modules:

• Then, you need to direct to the ns-3 file. For encompassing novel modules, set up the build.

cd ns-3-allinone

./download.py -n ns-3-dev

./build.py –enable-examples –enable-tests

4. Develop a Simulation Script:

• Plan to draft a simulation script, which specifies the simulation parameters, arranges the nodes, and frames the network topology. Based on configuring a fundamental mmWave simulation, a basic instance is specified below.

Instance of Simulation Script

To simulate a fundamental 5G mmWave network, consider the following instance of C++ script:

#include “ns3/core-module.h”

#include “ns3/network-module.h”

#include “ns3/internet-module.h”

#include “ns3/point-to-point-module.h”

#include “ns3/mobility-module.h”

#include “ns3/applications-module.h”

#include “ns3/mmwave-helper.h”

#include “ns3/mmwave-module.h”

using namespace ns3;

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

{

    double simTime = 10.0;

    uint16_t numUeNodes = 2;

    uint16_t numEnbNodes = 1;

    // Create nodes

    NodeContainer ueNodes;    ueNodes.Create(numUeNodes);

    NodeContainer enbNodes;    enbNodes.Create(numEnbNodes);

    // Set up the mobility model

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

    mobility.Install(ueNodes);

    mobility.Install(enbNodes);

    // Set up the mmWave helper

    Ptr<MmWaveHelper> mmwaveHelper = CreateObject<MmWaveHelper>();

    mmwaveHelper->SetSchedulerType(“ns3::MmWaveFlexTtiMaxWeightMacScheduler”);

    // Install mmWave devices on the nodes

    NetDeviceContainer enbDevices = mmwaveHelper->InstallEnbDevice(enbNodes);

    NetDeviceContainer ueDevices = mmwaveHelper->InstallUeDevice(ueNodes);

    // Attach the UEs to the eNB

    mmwaveHelper->AttachToClosestEnb(ueDevices, enbDevices);

    // Set up the Internet stack

    InternetStackHelper internet;

    internet.Install(ueNodes);

    internet.Install(enbNodes);

    // Assign IP addresses

    Ipv4AddressHelper ipv4;

    ipv4.SetBase(“7.0.0.0”, “255.0.0.0”);

    Ipv4InterfaceContainer enbIpIfaces = ipv4.Assign(enbDevices);

    Ipv4InterfaceContainer ueIpIfaces = ipv4.Assign(ueDevices);

    // Set up applications

    uint16_t dlPort = 1234;

    OnOffHelper onOffHelper(“ns3::UdpSocketFactory”, InetSocketAddress(ueIpIfaces.GetAddress(0), dlPort));    onOffHelper.SetConstantRate(DataRate(“100Mbps”));

    ApplicationContainer clientApps = onOffHelper.Install(enbNodes.Get(0));    clientApps.Start(Seconds(1.0));    clientApps.Stop(Seconds(simTime));

    PacketSinkHelper packetSinkHelper(“ns3::UdpSocketFactory”, InetSocketAddress(Ipv4Address::GetAny(), dlPort));

    ApplicationContainer serverApps = packetSinkHelper.Install(ueNodes.Get(0));    serverApps.Start(Seconds(1.0));    serverApps.Stop(Seconds(simTime));

    // Enable tracing

    mmwaveHelper->EnableTraces();

    // Run the simulation

    Simulator::Stop(Seconds(simTime));

    Simulator::Run();

    Simulator::Destroy();

    return 0;

}

5. Construct and Execute the Simulation:

• Save the script: In the scratch file of your ns-3 installation, the above defined script must be saved as mmWave-simulation.cc.
• Construct the Simulation: To compile your script, employ the waf build system.

./waf build   

• Execute the Simulation: Utilize the below specified command to run the script:

./waf –run scratch/mmwave-simulation   

6. Examine the Outcomes:

• Facilitate Tracing: For gathering in-depth simulation data, make sure that the tracing is facilitated in your script.
• Assess Metrics: Employ the tracing and logging techniques of ns-3 to gather and examine various performance metrics, including energy utilization, packet loss, latency, and throughput.