To implement the network fusion of fronthaul using the tool OMNeT++ has encompasses mimicking a system where several fronthaul networks are combined or “fused” to help a general backhaul or core network. It can be specifically related in scenarios like 5G networks, where numerous fronthaul links are used to join remote radio heads (RRHs) to the central unit (CU).
Step-by-Step Implementations:
Step 1: Set Up the OMNeT++ Environment
Make sure that OMNeT++ and essential models like INET or Simu5G if dealing with 5G networks are appropriately installed and configured.
Step 2: Define the Network Components
State the needed components like RRHs, fronthaul links, and the CU.
Example Network Components
// Define the Remote Radio Head (RRH)
module RRH
{
gates:
inout fronthaul;
}
// Define the Central Unit (CU)
module CU
{
gates:
inout fronthaul[];
}
Step 3: Create the Fronthaul Network
Describe the fronthaul network that connects the RRHs to the CU. This comprises making the links and stipulating how the fronthaul links are fused.
Example Fronthaul Network Definition
network FronthaulNetwork
{
submodules:
rrh1: RRH;
rrh2: RRH;
rrh3: RRH;
cu: CU {
gates:
fronthaul[3]; // Allow connection to multiple RRHs
}
connections allowunconnected:
rrh1.fronthaul <–> EthernetCable <–> cu.fronthaul[0];
rrh2.fronthaul <–> EthernetCable <–> cu.fronthaul[1];
rrh3.fronthaul <–> EthernetCable <–> cu.fronthaul[2];
}
Step 4: Implement Network Fusion Logic
This logic normally involves gathering data from various fronthaul links at the CU and processing it as a one stream. It can be mimicked using packet aggregation or same techniques in OMNeT++.
Example Fusion Logic (Simplified)
We can use custom modules or adjust existing ones to aggregate traffic.
// Example CU module with fusion logic in C++
class CU : public cSimpleModule
{
protected:
virtual void handleMessage(cMessage *msg) override;
};
void CU::handleMessage(cMessage *msg)
{
// Simplified fusion logic: aggregate packets from multiple fronthaul links
// Process and forward to the next stage (e.g., to the core network)
EV << “Fusing packets from fronthaul links and forwarding to core network.\n”;
send(msg, “out”); // Assuming ‘out’ is the gate to the core network
}
Step 5: Configure the Simulation Parameters
Form the simulation parameters in the .ini file, like data rates, delays, and packet sizes for the fronthaul links.
Example Configuration
[General]
network = FronthaulNetwork
sim-time-limit = 100s
*.rrh*.fronthaul.datarate = 10Gbps
*.cu.fronthaul*.datarate = 10Gbps
Step 6: Integrate with the Core Network (Optional)
If we need to extend the simulation to contain the core network, state and link it to the CU.
Example Core Network Integration
network CoreNetwork
{
submodules:
cu: CU;
coreRouter: Router;
connections allowunconnected:
cu.fronthaul[0] <–> EthernetCable <–> coreRouter.ethg++;
}
Step 7: Run the Simulation
Compile and run the simulation to monitor how the fronthaul links are fused at the CU and how data is processed and forwarded.
Step 8: Analyse the Results
To calculate the performance of the network fusion using OMNeT++’s analysis tools. Monitor the metrics like latency, throughput, and packet loss to know how successfully the fronthaul links are fused.
As a result, we learned and gain knowledge regarding on how to setup and simulate the Fusion of fraonthaul in the network using the tool OMNeT++. At omnet-manual.com we help you with the Network Fusion of Fronthaul implementation results. If you have new and interesting topics, feel free to reach out to us. We will support you through every stage of your project and provide performance analysis results.