| --- |
| language: en |
| license: mit |
| tags: |
| - mobility |
| - telecommunications |
| - synthetic-data |
| - 5g |
| - network-optimization |
| datasets: |
| - mobility-pattern |
| --- |
| |
| # Mobility Pattern Dataset |
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| ## Dataset Description |
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| - **Repository:** [mobility-prediction/dataset](https://huggingface.co/datasets/unifyair/mobility_data) |
| - **Paper:** N/A |
| - **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 |
| - **Task 2:** Network Performance Optimization |
| - **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 |
| - User ID |
| - Spatial coordinates (x, y) |
| - Velocity and heading |
| - Connected cell information |
| - Signal strength |
| - Handover information |
| - Pattern type |
| - Network conditions |
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| ### Data Fields |
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| - `timestamp`: DateTime - Time of measurement |
| - `user_id`: String - Unique identifier for each user |
| - `x`: Float - X-coordinate in meters |
| - `y`: Float - Y-coordinate in meters |
| - `velocity`: Float - Movement speed in m/s |
| - `heading`: Float - Direction of movement in radians |
| - `connected_cell`: String - ID of the currently connected cell tower |
| - `signal_strength`: Float - Signal strength in dBm |
| - `handover_needed`: Boolean - Whether a handover is needed |
| - `handover_target`: String - Target cell for handover if needed |
| - `pattern_type`: String - Type of mobility pattern ('commuter', 'random_walk', 'stationary', 'high_mobility') |
| - `network_load`: Float - Network congestion level (0-1) |
| - `sinr`: Float - Signal to Interference plus Noise Ratio |
| - `throughput_mbps`: Float - Network throughput in Mbps |
| - `device_type`: String - UE capability category |
| - `handover_latency`: Float - Handover latency in milliseconds |
| - `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: |
| - Develop and test mobility prediction algorithms |
| - Optimize network resource allocation |
| - Improve handover decision making |
| - Train machine learning models for network optimization |
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