Performance Analysis of Optical Communication Multiplexing and Demultiplexing
Implementation plan:
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Step 1: Initially, We construct a OAM with FSO communication model
Step 2: Then, we simulate the model and collect data like OAM modes, turbulence strength, and link distance.
Step 3: Next, we integrate the data using Employing Bessel, Airy, and optimized OAM beams along with Adaptive Optics (AO) with PSO technique.
Step 4: Next, we implement Dynamic Neural Fuzzy Inference Systems (DNFIS) for non-linear atmospheric distortions in MDM-FSO links.
Step 5: Then, we mitigate the data using Deep Convolution Neural Network with Time-domain Correlation Sequence Generation model (DCNN- TCSGm) methods
Step 6: Next, we perform multiplexing using Mode Division Multiplexing (MDM) and demultiplexing using at E-band frequencies,
Step 7: Finally, we plot performance metrics for the following
7.1: Time (s) vs. Error (%)
7.2: Time (S) vs Signal (V)
7.3: Wavelength (m) vs Power (dBm)
7.4: No od OAM mode vs. BER
7.5: Atmospheric turbulent vs. Signal quality
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 plan does not meet your requirements, provide detailed steps, parameters, models, or expected results in advance. Once implemented, changes won’t be possible without prior input; otherwise, we’ll proceed as per our implementation plan.
2) If the plan satisfies your requirement, Please confirm with us.
3) Project based on Simulation only, not a real time project.
4) Please understand that any modifications made to the confirmed implementation plan will not be made after the project development.
We perform with an Existing Approach Reference 2:- Title : Performance improvement of mode division multiplexing free space optical communication system through various atmospheric conditions with a decision feedback equalizer
