To implement the Optical visual MIMO (Multiple Input Multiple Output) in ns3 has to encompasses to emulate the optical communication system has includes to setup the simulation, configure the nodes that denotes the optical transmitters and receivers then setup the optical communication links and emulate the data transmission among them and where multiple optical transmitters and receivers are used to increase data transmission rates and reliability. Below are the procedures to generate the simple implementation for Optical Visual MIMO in ns3:
Step-by-Step Implementation:
Step 1: Setup ns3 Environment
Make certain ns3 is installed in the computer and checks it properly configured.
git clone https://gitlab.com/nsnam/ns-3-dev.git
cd ns-3-dev
./waf configure
./waf build
Step 2: Create the Optical Visual MIMO Simulation Script
We will create a script that sets up nodes with multiple optical transmitters and receivers, configures the optical communication links, and simulates data transmission between them.
#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/mobility-module.h”
#include “ns3/flow-monitor-module.h”
using namespace ns3;
NS_LOG_COMPONENT_DEFINE(“OpticalVisualMimoExample”);
int main(int argc, char *argv[])
{
CommandLine cmd;
cmd.Parse(argc, argv);
// Create nodes
NodeContainer nodes;
nodes.Create(4); // Four nodes to represent transmitters and receivers
// Set up point-to-point links representing optical MIMO links
PointToPointHelper p2p;
p2p.SetDeviceAttribute(“DataRate”, StringValue(“10Gbps”));
p2p.SetChannelAttribute(“Delay”, StringValue(“1ms”));
NetDeviceContainer devices1 = p2p.Install(nodes.Get(0), nodes.Get(1));
NetDeviceContainer devices2 = p2p.Install(nodes.Get(0), nodes.Get(2));
NetDeviceContainer devices3 = p2p.Install(nodes.Get(1), nodes.Get(3));
NetDeviceContainer devices4 = p2p.Install(nodes.Get(2), nodes.Get(3));
// Install the internet stack
InternetStackHelper stack;
stack.Install(nodes);
// Assign IP addresses
Ipv4AddressHelper address;
address.SetBase(“10.1.1.0”, “255.255.255.0”);
Ipv4InterfaceContainer interfaces1 = address.Assign(devices1);
address.SetBase(“10.1.2.0”, “255.255.255.0”);
Ipv4InterfaceContainer interfaces2 = address.Assign(devices2);
address.SetBase(“10.1.3.0”, “255.255.255.0”);
Ipv4InterfaceContainer interfaces3 = address.Assign(devices3);
address.SetBase(“10.1.4.0”, “255.255.255.0”);
Ipv4InterfaceContainer interfaces4 = address.Assign(devices4);
// Set up mobility model for the nodes (fixed)
MobilityHelper mobility;
mobility.SetMobilityModel(“ns3::ConstantPositionMobilityModel”);
mobility.Install(nodes);
// Set positions for visualization (optional)
Ptr<ConstantPositionMobilityModel> pos0 = nodes.Get(0)->GetObject<ConstantPositionMobilityModel>();
pos0->SetPosition(Vector(0.0, 0.0, 0.0));
Ptr<ConstantPositionMobilityModel> pos1 = nodes.Get(1)->GetObject<ConstantPositionMobilityModel>();
pos1->SetPosition(Vector(5.0, 0.0, 0.0));
Ptr<ConstantPositionMobilityModel> pos2 = nodes.Get(2)->GetObject<ConstantPositionMobilityModel>();
pos2->SetPosition(Vector(0.0, 5.0, 0.0));
Ptr<ConstantPositionMobilityModel> pos3 = nodes.Get(3)->GetObject<ConstantPositionMobilityModel>();
pos3->SetPosition(Vector(5.0, 5.0, 0.0));
// Install applications to generate traffic
uint16_t port = 9;
// Node 0 will send data to Node 3 via multiple paths
OnOffHelper onoff1(“ns3::UdpSocketFactory”, Address(InetSocketAddress(interfaces3.GetAddress(1), port)));
onoff1.SetConstantRate(DataRate(“5Gbps”));
ApplicationContainer apps1 = onoff1.Install(nodes.Get(0));
apps1.Start(Seconds(1.0));
apps1.Stop(Seconds(10.0));
OnOffHelper onoff2(“ns3::UdpSocketFactory”, Address(InetSocketAddress(interfaces4.GetAddress(1), port)));
onoff2.SetConstantRate(DataRate(“5Gbps”));
ApplicationContainer apps2 = onoff2.Install(nodes.Get(0));
apps2.Start(Seconds(1.0));
apps2.Stop(Seconds(10.0));
// Install packet sink on Node 3 to receive packets
PacketSinkHelper sink(“ns3::UdpSocketFactory”, Address(InetSocketAddress(Ipv4Address::GetAny(), port)));
ApplicationContainer sinkApps = sink.Install(nodes.Get(3));
sinkApps.Start(Seconds(0.0));
sinkApps.Stop(Seconds(10.0));
// Enable FlowMonitor to measure performance metrics
FlowMonitorHelper flowmon;
Ptr<FlowMonitor> monitor = flowmon.InstallAll();
// Run the simulation
Simulator::Stop(Seconds(10.0));
Simulator::Run();
// Print per-flow 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(” Lost Packets: ” << i->second.lostPackets);
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 3: Compile and Run the Simulation
- Compile the Simulation:
./waf configure –enable-examples
./waf build
Run the Simulation:
./waf –run scratch/optical-visual-mimo-example
Step 4: Analyze Results
The simulation script sets up an Optical Visual MIMO network with multiple nodes and simulates data transmission between them using multiple paths. FlowMonitor is used to collect and print out statistics about the traffic flows, such as packet loss, throughput, and delay.
Additional Considerations
To extend the functionality of your Optical Visual MIMO network simulation, consider the following:
1. Advanced Mobility Models
Implement more realistic mobility models to simulate the movement of transmitters and receivers, especially if the system involves mobile nodes.
2. Channel Modelling
Integrate more sophisticated optical channel models to account for factors such as path loss, interference, and atmospheric effects.
3. Dynamic Routing
To manage the changing topology of the network and find optimal paths for data transmission using dynamic routing protocols.
4. Traffic Patterns
Mimic various kinds of traffic patterns, like IoT data, VoIP, video streaming, and bulk data transfer, to study their impact on the network.
5. Quality of Service (QoS)
Implement QoS mechanisms to prioritize certain types of traffic and ensure that critical data flows receive the necessary bandwidth and low latency.
6. Performance Metrics
Collect and analyse additional metrics such as jitter, packet delay variation, and error rates to evaluate the network performance more comprehensively.
At the last, we clearly explained to execute and analyse the results for the Optical visual MIMO in ns3 implementation framework. If you need any support regarding Optical visual MIMO implementation we will help and provide the related information.