[GSoC 2026] Proposal interest: Enabling 5G NR Examples Visualization

[VAIBHAV SHARMA]

Hi ns-3 developers,

My name is Vaibhav Sharma. I am a pre-final year undergraduate student
at BITS Pilani, Pilani Campus (India), and I am interested in applying
for GSoC 2026 for the project "Enabling 5G NR Examples Visualization"
(175 hours, medium difficulty).

I have gone through the ns-3 tutorial, studied the CTTC 5G-LENA NR
module source code — specifically the NrBearerStatsCalculator and
PhyStatsCalculator trace output formats — and built a proof-of-concept
Python visualization toolkit as my patch/code submission:

  https://github.com/web1havv/ns3-nr-visualization

The toolkit currently covers:
  - Parsers for DlRlcStats, UlRlcStats, DlPhySinr, UlPhySinr trace files
  - 8-panel KPI dashboard (throughput, SINR, delay, Jain's Fairness
    Index, MCS distribution, handover events)
  - Handover animation
  - Flow-ID / UE filter engine for per-flow debugging
  - Structured JSON export for web and AI agent consumption
  - Real-time file-watch dashboard
  - SEM parameter sweep (numerology x UE density heatmap)
  - NetAnim XML parser with NR-KPI overlay comparison
  - Multi-run statistical confidence intervals + Welch t-test
  - pytest test suite

I would appreciate any feedback from Biljana Bojovic or other mentors
on the technical direction — particularly whether the JSON export
approach aligns with what the mentors have in mind, and which KPIs
should be prioritized in the first milestone.

Thank you.

Vaibhav Sharma
BITS Pilani, Pilani Campus
f202...@pilani.bits-pilani.ac.in
https://github.com/web1havv
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