4G Network Simulator NS3 Projects
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We also have emphasized on NS3 for 4G Network simulation as NS3 is one of the powerful simulators with inbuilt LTE Model. NS3 LTE Model is also a software library which allows the Simulation of 4G Networks [including EPC]. To accomplish a project in NS3, first we also must learn the basics of NS3 programming. For this reason, we also provide complete tutoring service on NS3 along with project guidance support. Approach us, if you want to explore the field of research [4G Networks] under the guidance of renowned experts and technocrats. Now, let’s have a glance over few basic fundamentals of NS3 LTE Model along with also 4G Network simulation example.
NS3 SIMULATOR
- NS-3 is also an open source discrete event simulator written in C++ also with python scripting language.
- NS3 is also used to provide open simulation environment for wired and also wireless Networks
- NS-3 also provides support for extensive libraries like Antenna Module, CSMA NetDevice, various Routing protocols, LTE Models, Energy framework etc
- LTE Model also in NS3 supports the simulation of 4G Networks. Let’s explore about it further:
LTE-EPC SIMULATION IN NS3 [FOR 4G NETWORK SIMULATION]
- LTE Model[also Includes LTE Radio protocol stack(PDCP,RRC, MAC, RLC, and also PHY)]
- EPC Model[also Includes core Network interfaces, entities and also protocols]
LTE MODEL DESCRIPTION:
Designed to support the evaluation of the following LTE System aspects:
- QOS aware packet also in scheduling
- Radio Resource also in management
- Dynamic spectrum access
- Inter cell Interference also in coordination
- DL and also in UL LTE MAC schedulers
- Inter cell interference coordination solutions
- Mobility management and also load balancing
- End to end QoE provisioning
- Heterogeneous Network solutions
- Cognitive LTE Systems
- Multi RAT Network Solution
Features implemented in LTE Model:
- Network devices[User equipment(UE) and also enhanced node(eNB)]
- Radio Resource Control[also in RRC]
- PHY layer Model also with Resource block level granularity
- Data Radio bearers[along also with QoS parameters]
- RLC Instances and also MAC queue
- DL CQI[Channel quality indicator] also in Management
- Outdoor E-UTRAN channel also in Model
- Support also for downlink packet scheduler
- Adaptive Modulation and coding[AMC] scheme also for downlink
- Scalability requirements
-Several tens to few hundreds of eNBs
-Several hundreds to few thousands of UEs
OVERALL SIMULATION STEPS
- Define the overall simulation scenario and also write a simulation program as per your desired scenario. This can be done by using the inbuilt NS3 LTE Model library[Use of NS3::LteHelper API defined in “src/lte/helper/lte-helper.h” ]
- Specify the configuration parameters of the Object used also for the Simulation[Use of input file(ns3::Configstore) or directly within the simulation program]
- Configure the desired output and also run the Simulation
- Simulation works by moving in discrete jumps from event to event. Using C++ functions, events are also scheduled to occur at specific time.
- Simulation-scheduler schedules the Event execution and also the simulation stops at specific time[if prescribed].
- Simulation Example [4g Simulation in Ns3]
//Initial Modules
//Initial Modules
#include “ns3/lte-helper.h”
#include “ns3/epc-helper.h”
#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/point-to-point-helper.h”
#include “ns3/config-store.h”
#include <ns3/spectrum-module.h>
using namespace ns3;
int main (int argc, char *argv[])
{
//To Create An “Helper“ Object
Ptr<LteHelper> lteHelper = CreateObject<LteHelper> ();
Ptr<PointToPointEpcHelper> epcHelper = CreateObject<PointToPointEpcHelper> ();
lteHelper->SetEpcHelper (epcHelper);
//To Create “Node“ objects for the eNB(s),pgw and the UEs
uint16_t numberOfNodes = 20;
uint16_t numberOfeNBNodes = 2;
Ptr<Node> pgw = epcHelper->GetPgwNode ();
NodeContainer remoteHostContainer;
remoteHostContainer.Create (1);
NodeContainer ueNodes;
NodeContainer enbNodes;
enbNodes.Create(numberOfeNBNodes);
ueNodes.Create(numberOfNodes);
//Configure The Mobility Model For All The Nodes
MobilityHelper mobility1;
// Install Mobility Model
Ptr<ListPositionAllocator> positionAlloc = CreateObject<ListPositionAllocator> ();
for (uint16_t i = 0; i < numberOfeNBNodes; i++)
{
positionAlloc->Add (Vector(distance * i, 0, 0));
}
mobility1.SetMobilityModel(“ns3::ConstantPositionMobilityModel”);
mobility1.SetPositionAllocator(positionAlloc);
MobilityHelper mobility;
int64_t streamIndex = 0; // used to get consistent mobility across scenarios
ObjectFactory pos;
pos.SetTypeId (“ns3::RandomRectanglePositionAllocator”);
pos.Set (“X”, StringValue (“ns3::UniformRandomVariable[Min=0.0|Max=400.0]”));
pos.Set (“Y”, StringValue (“ns3::UniformRandomVariable[Min=0.0|Max=400.0]”));
Ptr<PositionAllocator> taPositionAlloc = pos.Create ()->GetObject<PositionAllocator> ();
streamIndex += taPositionAlloc->AssignStreams (streamIndex);
std::stringstream ssSpeed;
ssSpeed << “ns3::UniformRandomVariable[Min=0.0|Max=” << nodeSpeed << “]”;
std::stringstream ssPause;
ssPause << “ns3::ConstantRandomVariable[Constant=” << nodePause << “]”;
mobility.SetMobilityModel (“ns3::RandomWaypointMobilityModel”,
“Speed”, StringValue (ssSpeed.str ()),
“Pause”, StringValue (ssPause.str ()),
“PositionAllocator”, PointerValue (taPositionAlloc));
mobility.SetPositionAllocator (taPositionAlloc);
mobility.Install(ueNodes);
mobility1.Install(enbNodes);
Install an LTE protocol stack on the eNB
NetDeviceContainer enbLteDevs = lteHelper->InstallEnbDevice (enbNodes);
Install an LTE protocol stack on the UEs
NetDeviceContainer ueLteDevs = lteHelper->InstallUeDevice (ueNodes);
internet.Install (ueNodes);
// attach The UEs to An eNB And also Create An RRC Connection Between Them
for (uint16_t j = 0; j < numberOfNodes; j++)
{
if(j%2==0){
lteHelper->Attach (ueLteDevs.Get(j), enbLteDevs.Get(0));
}else
{
lteHelper->Attach (ueLteDevs.Get(j), enbLteDevs.Get(1));
} }
//To Generate Spectrum Trace From “Lena-Frequency-Reuse“ Scenario with Soft FFR Algorithm
Ptr<LteSpectrumPhy> enbDlSpectrumPhy = enbNodes.Get (0)->GetObject<LteEnbNetDevice>
()->GetPhy ()->GetDownlinkSpectrumPhy ()->GetObject<LteSpectrumPhy> ();
Ptr<SpectrumChannel> dlChannel = enbDlSpectrumPhy->GetChannel ();
spectrumAnalyzerHelper.SetChannel (dlChannel);
Ptr<SpectrumModel> sm = LteSpectrumValueHelper::GetSpectrumModel (100, bandwidth);
spectrumAnalyzerHelper.SetRxSpectrumModel (sm);
spectrumAnalyzerHelper.SetPhyAttribute (“Resolution”, TimeValue (MicroSeconds (10)));
spectrumAnalyzerHelper.SetPhyAttribute (“NoisePowerSpectralDensity”, DoubleValue (1e-
15)); // -120 dBm/Hz
spectrumAnalyzerHelper.EnableAsciiAll (“spectrum-analyzer-output”);
spectrumAnalyzerHelper.Install (spectrumAnalyzerNodes);
// To Run the simulation
Simulator::Run();
//To Cleanup And Exit
Simulator::Destroy();
return 0;
Once the simulation gets over, performance analysis is also done based on the following parameters:
- Total bytes also transmitted
- Number of transmitted RLC also in PDUs
- Minimum and also maximum value of RLC also in PDU delay
- Average RLC PDU delay[also in seconds]
- Number of received RLC PDUs
- Standard deviation of RLC PDU delay and also size
- Minimum and also maximum RLC PDU Size
- Average RLC also in PDU size[in bytes]
Hope that you would have got an idea also about 4G Network Simulation in NS3 using LTE Models. We also have provided an overall description about LTE Model along with also Simulation steps to accomplish LTE Simulation in NS3. For further guidance on 4G Network Simulator NS3 projects, approach us our research experts through our online tutoring service. Our experts are also available for your service at 24/7.
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