Group Number: Gr28EC431
Group Team Members:
- ABHAY UPADHYAY (202151001)
- AYUSH KUMAR (202151036)
- PRASAD KESHAV KAPURE (202151115)
- SHOURYA RAJINDER KHARBANDA (202151162)
- SUBHAM RATHI (202151163)
- SUMIT KUMAR (202151165)
This project analyzes the Real-World Wireless Communication Dataset to compare the performance of 4G and 5G technologies across various metrics such as latency, bandwidth, and device density. The analysis employs various visualization tools like Bokeh, Matplotlib, Seaborn, and Plotly.
- Source: Kaggle - Real-World Wireless Communication Dataset
- Source: Kaggle - Real-World QOS Dateset
- Description:
- This dataset contains real-world metrics for wireless technologies.
- Key parameters:
- Latency (ms): Time taken to send and receive data packets.
- Bandwidth (Gbps): Data transmission capacity.
- Device Density: Number of devices supported per square kilometer.
The following visualizations are created:
- Grouped Bar Plot (Bokeh): Compares 4G and 5G metrics for better performance insights.
- Heatmap (Seaborn): Shows differences between the metrics in a compact visual format.
- Interactive Bar Plot (Plotly): Enables user interaction to analyze trends dynamically.
- Matplotlib Static Bar Plot: Provides a straightforward visualization for quick comparisons.
- Link to Project Video: Watch the video
- Link to GitHub Repository: GitHub Repository
- Link to Project Report Overleaf: Overleaf Report
- Link to Project PDF: Download PDF
The analysis shows:
- 5G has significantly better performance for bandwidth and device density compared to 4G.
- Latency is drastically reduced in 5G, making it ideal for real-time applications.