Model for Distributing Radio Channel Bandwidth among 5G NR Network Slices Considering Traffic Self-Similarity

This paper reviews existing methods for integrating heterogeneous services into New Radio (NR) 5G networks. The principal requirements for these methods include high efficiency in utilizing the NR 5G spectrum and ensuring quality of service for heterogeneous traffic. We propose a model that provides distribution of radio channel bandwidth among eMBB, URLLC, and mMTC slices, considering different network numerologies and traffic self-similarity. This model addresses the challenge of minimizing the total radio channel bandwidth allocated to these slices while considering constraints on the delay times of heterogeneous traffic packets.

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