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Network Slicing Resource Allocation Data

Data Science and Analytics

Tags and Keywords

5g

Slicing

Qos

Performance

Allocation

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Network Slicing Resource Allocation Data Dataset on Opendatabay data marketplace

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About

provides key performance indicators and configuration details related to 5G network slicing and Dynamic Resource Allocation. It allows for the analysis of how different virtualised network configurations (slice types) perform across various industry and consumer use cases. The dataset includes metrics crucial for evaluating quality of service, such as Packet Loss Rate and Packet Delay, categorized by User Equipment specifications (LTE/5G Category) and whether a Guaranteed Bit Rate (GBR) is mandated. The primary purpose is to enable performance specification analysis for advanced 5G applications.

Columns

The dataset includes 16 columns describing network performance and usage context:
  • LTE/5G Category: Defines the performance specifications for User Equipment categories or classes.
  • Packet Loss Rate: Calculated as the number of packets not received divided by the total number of packets sent.
  • Packet Delay: Measures the time required for a packet to be received.
  • Slice type: Represents the network configuration, which allows for multiple virtualised and independent networks.
  • GBR: Indicates whether a Guaranteed Bit Rate is applied (1 or 0).
  • Healthcare: Binary flag (1 or 0) indicating usage in Healthcare applications.
  • Industry 4.0: Binary flag (1 or 0) indicating usage in Digital Enterprises.
  • IoT Devices: Binary flag (1 or 0) related to usage by Internet of Things devices.
  • Public Safety: Binary flag (1 or 0) for usage relating to public welfare and safety purposes.
  • Smart City & Home: Binary flag (1 or 0) indicating usage in daily household chores and urban environments.
  • Smart Transportation: Binary flag (1 or 0) for usage in public transportation systems.
  • Smartphone: Binary flag (1 or 0) indicating whether the connection is used for smartphone cellular data.
  • AR/VR/Gaming: Binary flag (1 or 0) for augmented reality, virtual reality, or gaming applications.
  • Non-GBR: Indicates whether Guaranteed Bit Rate is not applied.
  • Time: Represents a time-based label count, distributed between 0.00 and 23.00.
  • Usability: A score of 10.00 is assigned to this dataset.

Distribution

The dataset, provided in test_dataset.csv, is approximately 1.21 MB in size and contains 16 columns. It consists of 31.6k valid records across all fields. Data quality is high, with 0% mismatched or missing values detected in the analysed columns. The data contains categorical features and numerical metrics, such as Packet Delay, which ranges from a minimum of 10.00 to a maximum of 300.00, with a mean of 114. The LTE/5G Category spans from 1.00 to 22.00. The Packet Loss Rate is tightly distributed, ranging from 0.00 to 0.01.

Usage

This dataset is suitable for modelling and research in 5G performance and Quality of Service (QoS) delivery. Ideal applications include:
  • Analysing the impact of dynamic resource allocation strategies.
  • Training machine learning models to predict network performance (e.g., packet delay or loss) based on slice type.
  • Evaluating the network demands of vertical industries, such as Healthcare, Industry 4.0, and Smart Transportation.
  • Studying the performance differentiation between GBR and Non-GBR configurations.

Coverage

The data focuses strictly on performance metrics and usage types related to 5G network slicing and LTE/5G User Equipment categories. Temporal and geographic scopes are not explicitly defined in the source material, but the expected update frequency is annually. Use case coverage is detailed, including specific fields for AR/VR/Gaming, IoT Devices, and Public Safety.

License

CC0: Public Domain

Who Can Use It

  • Network Engineers: To benchmark and optimise 5G slice performance.
  • Data Scientists: For training and testing classification or regression models focused on network QoS prediction.
  • Telecommunications Researchers: To study the implications of network slicing on diverse vertical sectors.
  • Policy Makers: To understand the required performance specifications for critical use cases like Public Safety and Healthcare.

Dataset Name Suggestions

  • 5G Slice Performance and QoS Metrics
  • Network Slicing Resource Allocation Data
  • LTE/5G User Equipment Performance Dataset
  • Vertical Industry 5G Performance Analytics

Attributes

Listing Stats

VIEWS

1

DOWNLOADS

0

LISTED

31/10/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

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