To calculate the network achievable sum rate in OMNeT++, we need to define the total data rate which can be completed by all users or devices in the network given the current channel conditions, interference, and resource allocation strategies. This metric is crucial for assessing the efficiency and capacity of wireless networks like cellular networks or Wi-Fi networks. Si if you want to get best implementation results you ccn approach us. Below is the calculation process of Network achievable sum rate:

**Steps to Calculate Network Achievable Sum Rate in OMNeT++:**

**Set Up the Network Model:**- Use NED files to state the network topology as well as setting up base stations (or access points) and user devices (or clients). Make sure that the module replicates the intended wireless environment with precise propagation models, interference models and channel conditions.

**Configure Channel and Interference Models:**- Execute or configure channel models that imitate real-world conditions as well as path loss, fading, shadowing, and interference. These models are crucial for defining the achievable data rates for all users.

**Implement Resource Allocation Strategy:**- Use suitable resource allocation strategy like power control, frequency allocation, or scheduling. The sum rate will hinge on how resources are allocated among users.

**Calculate Data Rate for Each User:**- For each user or device, compute the achievable data rate based on the signal-to-noise ratio (SNR) or signal-to-interference-plus-noise ratio (SINR). This can be completed using the Shannon-Hartley theorem: Ri=B⋅log2(1+SINRi)R_i = B \cdot \log_2(1 + \text{SINR}_i)Ri=B⋅log2(1+SINRi) where:
- RiR_iRi is the achievable data rate for user iii,
- BBB is the bandwidth available to the user,
- SINRi\text{SINR}_iSINRi is the signal-to-interference-plus-noise ratio for user iii.

- For each user or device, compute the achievable data rate based on the signal-to-noise ratio (SNR) or signal-to-interference-plus-noise ratio (SINR). This can be completed using the Shannon-Hartley theorem: Ri=B⋅log2(1+SINRi)R_i = B \cdot \log_2(1 + \text{SINR}_i)Ri=B⋅log2(1+SINRi) where:
**Sum the Data Rates to Obtain the Achievable Sum Rate:**- The achievable sum rate for the network is the sum of the achievable data rates of all users: Achievable Sum Rate=∑i=1NRi\text{Achievable Sum Rate} = \sum_{i=1}^{N} R_iAchievable Sum Rate=i=1∑NRi where NNN is the number of users or devices in the network.

**Example Implementation: Achievable Sum Rate Calculation**

Sample provided below to calculate the network achievable sum rate in OMNeT++:

#include <omnetpp.h>

#include <cmath>

using namespace omnetpp;

class AchievableSumRateModule : public cSimpleModule {

private:

double bandwidth; // Bandwidth available to each user (Hz)

std::vector<double> sinrValues; // Vector to store SINR values for each user

simsignal_t sumRateSignal; // Signal to record the achievable sum rate

protected:

virtual void initialize() override {

bandwidth = par(“bandwidth”).doubleValue(); // Bandwidth in Hz

sumRateSignal = registerSignal(“sumRateSignal”);

// Example SINR values; in practice, these would be calculated based on channel conditions

sinrValues = {10, 15, 20}; // Example SINR values in linear scale (not dB)

// Schedule the calculation of the achievable sum rate

scheduleAt(simTime() + par(“calculationInterval”).doubleValue(), new cMessage(“calculateSumRate”));

}

virtual void handleMessage(cMessage *msg) override {

if (strcmp(msg->getName(), “calculateSumRate”) == 0) {

double sumRate = 0;

for (double sinr : sinrValues) {

double dataRate = bandwidth * log2(1 + sinr);

sumRate += dataRate;

}

// Emit the achievable sum rate signal

emit(sumRateSignal, sumRate);

EV << “Achievable Sum Rate: ” << sumRate / 1e6 << ” Mbps\n”;

// Schedule the next calculation

scheduleAt(simTime() + par(“calculationInterval”).doubleValue(), msg);

} else {

delete msg;

}

}

};

Define_Module(AchievableSumRateModule);

**Explanation:**

**AchievableSumRateModule:****bandwidth:**Signify the bandwidth accessible to each user, naturally specified in Hertz (Hz).**sinrValues:**Stores the SINR values for each user in the network. Based on the certain channel and interference conditions, this value will be computed.**sumRateSignal:**Registers a signal to emit the estimated achievable sum rate.

**initialize() Function:**- Set up the bandwidth and scheduling the first calculation of the sum rate to initialize the module.

**handleMessage() Function:**- Depends on their SINR and the existing bandwidth, we can computes the achievable data rate for each user. The sum of these data rates gives the network’s achievable sum rate.
- The result is emitted as a signal and logged for analysis.

**Run the Simulation:**

- Compile and run the OMNeT++ project. The simulation will occasionally estimates and log the network’s achievable sum rate.

**Analyze and Interpret Results:**

- The achievable sum rate offers a measure of the overall capacity of the network to manage traffic in the current conditions. Higher sum rates represent more efficient use of the available spectrum and better overall network performance.

**Additional Considerations:**

**Dynamic Conditions:**The SINR and achievable sum rate can differ dynamically because of user mobility, changes in network load, or interference. Consider integrating these dynamics into the simulation.**Advanced Resource Allocation:**Generating advanced resource allocation strategies like adaptive modulation and coding, MIMO, or beamforming, can further optimize the achievable sum rate.**SINR Calculation:**Considering all relevant factors like interference, noise, and channel fading effects to make certain the precise SINR calculation.

By following this demonstration, you can calculate the network achievable sum rate in OMNeT++ and also understands how the network works during usage. If needed, we will offer any additional details of this approach with many project ideas and simulation outcomes.