Performance Analysis of MEC Based Trajectory Prediction

Performance Analysis of MEC Based Trajectory Prediction for Cooperative Maneuvering

Implementation Plan:
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Step 1: Initially, we constructed an urban 5G environment with 50 vehicles, 2 gNB and 1 MEC server .

Step 2: Then, we simulate and collect network data such as packet send/receive, packet size , transmission time, Tx power, path loss and distance.

Step 3: Next, we decompose and analyze the E2EL components (UL, TPL, DL) to identify performance bottlenecks based on collected data.

Step 4: Next, we predict the Trajectory by determining the maximum number of vehicles based on E2EL threshold reliability.

Step 5: Next, we evaluate the reliability by calculating the fraction of packets delivered across the vehicle loads .

Step 6: Finally, we plot performance for the following metrics:

6.1: Number of vehicles vs. Average End-to-End Latency (ms)
6.2: Number of vehicles vs. Bandwidth (Mbps)
6.3: Number of vehicles vs. Throughput (Mbps)
6.4: Number of vehicles vs. Queue Length
6.5: Number of vehicles vs. CPU Utilization (%)

Software Requirements:
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1. Development Tool: OMNeT++ 4.6 or above with Veins and Simu5G

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.

2) Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming.

3) 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.

4) If the plan satisfies your requirement, Please confirm with us.

5) Project based on Simulation only.

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