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--- |
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language: en |
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license: mit |
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tags: |
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- mobility |
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- telecommunications |
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- synthetic-data |
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- 5g |
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- network-optimization |
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datasets: |
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- mobility-pattern |
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--- |
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# Mobility Pattern Dataset |
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## Dataset Description |
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- **Repository:** [mobility-prediction/dataset](https://huggingface.co/datasets/unifyair/mobility_data) |
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- **Paper:** N/A |
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- **Point of Contact:** hello@unifyair.com |
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### Dataset Summary |
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This dataset contains synthetic mobility patterns and network performance metrics for 100 users over a 3-day period. The data simulates realistic user movement patterns in a cellular network environment, including various mobility types, signal strengths, and network conditions. |
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### Supported Tasks and Leaderboards |
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- **Task 1:** Mobility Pattern Prediction |
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- **Task 2:** Network Performance Optimization |
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- **Task 3:** Handover Decision Making |
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### Languages |
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English |
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## Dataset Structure |
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### Data Instances |
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Each data instance represents a single measurement point for a user, containing: |
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- Timestamp |
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- User ID |
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- Spatial coordinates (x, y) |
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- Velocity and heading |
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- Connected cell information |
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- Signal strength |
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- Handover information |
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- Pattern type |
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- Network conditions |
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### Data Fields |
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- `timestamp`: DateTime - Time of measurement |
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- `user_id`: String - Unique identifier for each user |
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- `x`: Float - X-coordinate in meters |
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- `y`: Float - Y-coordinate in meters |
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- `velocity`: Float - Movement speed in m/s |
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- `heading`: Float - Direction of movement in radians |
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- `connected_cell`: String - ID of the currently connected cell tower |
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- `signal_strength`: Float - Signal strength in dBm |
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- `handover_needed`: Boolean - Whether a handover is needed |
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- `handover_target`: String - Target cell for handover if needed |
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- `pattern_type`: String - Type of mobility pattern ('commuter', 'random_walk', 'stationary', 'high_mobility') |
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- `network_load`: Float - Network congestion level (0-1) |
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- `sinr`: Float - Signal to Interference plus Noise Ratio |
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- `throughput_mbps`: Float - Network throughput in Mbps |
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- `device_type`: String - UE capability category |
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- `handover_latency`: Float - Handover latency in milliseconds |
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- `handover_success`: Boolean - Whether the handover was successful |
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### Data Splits |
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The dataset is provided as a single split containing 3 days of continuous data. |
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## Dataset Creation |
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### Curation Rationale |
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This synthetic dataset was created to facilitate research in mobility prediction and network optimization. It simulates realistic user movement patterns and network conditions that would be encountered in a real cellular network environment. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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This dataset can be used to: |
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- Develop and test mobility prediction algorithms |
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- Optimize network resource allocation |
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- Improve handover decision making |
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- Train machine learning models for network optimization |
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