To showcase the capabilities of the model, we also compare performance guarantees provided for URLLC, eMBB, and mMTC traffic when multiplexed over the same NR radio interface. As metrics of interest, we utilize K-class session drop probability, K-class session pre-emption probability, and system resource utilization. The system is based on a queueing model and allows parametrization by accounting for the specifics of wireless channel impairments. In this paper, we formulate and solve a mathematical model for a class of Radio Access Network (RAN) slicing algorithms that simultaneously include resource reservation and a priority-based service discipline allowing us to incur fine granularity in the service processes of different traffic aggregates.
According to the 3rd Generation Partnership Project (3GPP), the efficient support of this feature requires statistical multiplexing and, at the same time, traffic isolation between slices. This functionality is assumed to be implemented by utilizing the network slicing concept. Companion journals for Mathematics include: Foundations, AppliedMath and Analytics.įifth-generation (5G) New Radio (NR) systems are expected to support multiple traffic classes including enhanced mobile broadband (eMBB), ultra-reliable low-latency communications (URLLC), and massive machine-type communications (mMTC) at the same air interface.Sections: published in 13 topical sections.Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.This journal in the second half of 2022). To publication is undertaken in 3.6 days (median values for papers published in Rapid Publication: manuscripts are peer-reviewed and a firstĭecision is provided to authors approximately 16.8 days after submission acceptance.Journal Rank: JCR - Q1 ( Mathematics) / CiteScore - Q1 ( General Mathematics).High Visibility: indexed within Scopus, SCIE (Web of Science), RePEc, and other databases.
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