A Comprehensive Analysis of Network Slicing for Resource Allocation in 5G and Beyond

The dataset contains 4,66,739 samples and is used for resource allocation of a 5G network. It includes nine attributes that capture various aspects of network usage and conditions. These attributes are: LTE/5G UE Category, Use Case Type, Technology Supported, Day, Time, QCI (Quality of Service Class Identifier), Packet Loss Rate (Reliability), Packet Delay Budget (Latency) and Slice Type. The last attribute, Slice Type is the target variable. The dataset provides detailed information on the type of use case (e.g., Smartphone), the technology in use (LTE/5G), the time and day of data capture, as well as critical performance indicators like packet loss rate, QCI as well as latency requirements. The target variable, Slice Type, indicates the specific slice of the network (e.g., eMBB, mMTC) allocated under given conditions.