Performance Analysis of Underwater Acoustic Communication
Implementation Plan:
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Step 1: Initially, we constructed an Underwater Acoustic Communication (UAC) model with 4×4 MIMO-OFDM transceivers, 64 subcarriers and 12 kHz bandwidth for underwater signal propagation.
Step 2: Then, we simulate the model and collect the simulated data such as Doppler shifts, channel state information (CSI), received signal strength, bit error rate (BER), and noise level.
Step 3: Next, we preprocessed the collected data by removing noise, resampling, and normalizing for training purposes.
Step 4: Next, we trained a Transformer-based deep learning model for CSI prediction and Doppler estimation using the processed data.
Step 5: Next, we perform equalization and adaptive modulation using the predicted CSI to enhance underwater data transmission efficiency based on collected data.
Step 6: Finally, we plot performance metrics for the following:
6.1: Signal-to-Noise Ratio (SNR) vs Bit Error Rate (BER)
6.2: Number of Epochs vs Channel Prediction Error
6.3: Doppler Shift vs Received Signal Power
6.4: Transmission Distance vs Throughput (Kbps)
6.5: Transmission Distance vs Energy Efficiency (J)
Software Requirements:
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1. Development Tool: Matlab-R2023a or above
2. Operating System: Windows-10 (64-bit) or above
Note:
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1) If the proposed plan does not fully align with your requirements, please provide all necessary details—including steps, parameters, models, and expected outcomes—in advance. Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming.
2) If there’s no built-in solution for what the project needs, we can always turn to reference models, customize our own, different math models or write the code ourselves to fulfil the process.
3) If the plan satisfies your requirement, Please confirm with us.
4) Project based on Simulation only.
