WUBIN10086/NS3-SimData

📡 NS3 5G/LTE Simulation & Real-World RSRP Dataset

This dataset contains 5G/LTE network data designed for AI model training. It encompasses NS3-based simulation data alongside real-world measurements collected at the Toyonaka Campus of Osaka University, Japan. It is primarily built for training and fine-tuning RSRP (Reference Signal Received Power) generation algorithms and network load modeling.

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⚠️ Important Usage Notice

How to use this dataset?: Please refer to this GitHub repo kernel-diff.

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📂 Dataset Structure

1. Layer1_offeredload (Traffic-Side Auxiliary Data)

This section utilizes traffic-side information extracted from the public dataset 5G-SliciNdd.

• Role: Converts the offered load-related segments of the original data into a discrete distribution (e.g., a JSON file keyed by offeredLoad, typically named ul_dl_dist.json).
• Purpose: Ensures the NS3 simulator reflects measured, real-world uplink/downlink load statistics rather than relying on arbitrary constant rates.

2. Layer2_rsrp_only (NS3 Simulation Data)

The core dataset generated by the NS3 simulator, designed for training RSRP generation methods and other related algorithms. It contains the following core files:

• ue_kpi.csv — Per-UE (User Equipment) KPI trace data (required by preprocess_layer2.py):
  • Fields: time_ms, imsi, x, y, z, slice_id, RSRP, serving_cell_id
• gnb_positions.csv — gNB (Base Station) physical layout information (indices match the serving_cell_id semantics in the data pipeline):
  • Fields: gnb_idx, x, y, z

3. Layer2_rsrp_only_finetune (Real-World Fine-Tuning Data)

A real-world dataset measured on-site using Android smartphones at Toyonaka Campus, Osaka University, Japan. Designed specifically for model fine-tuning.

• base_stations.json — A JSON array of base station records. By anchoring known gNB sites and their associated cellIds, this file is used for downstream mapping and preprocessing. Each element contains:
  • enb: eNodeB ID
  • lat / lon: Latitude and Longitude
  • cellIds: A list of serving-cell identifiers (used to match with the logs)
• raw/*.txt — Raw measurement logs. Provided in newline-delimited JSON format (one JSON object per line representing a single sample capture). The top-level structure contains:
  • timestamp: ISO-8601 formatted string
  • signal: Contains type, rssi, rsrp, rsrq, snr, cellId
  • gps: Contains latitude, longitude

(Note: Combining the timestamped RSRP/GPS data from the raw logs with the base station anchors in base_stations.json allows you to reconstruct the complete signal distribution characteristics across the physical space.)