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Modeling MTC and HTC Radio Access in a Sliced 5G Base Station

Mancuso, Vincenzo and Castagno, Paolo and Sereno, Matteo and Ajmone Marsan, Marco (2020) Modeling MTC and HTC Radio Access in a Sliced 5G Base Station. [Journal Articles] (Accepted for publication)

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Abstract

In this article, we develop a modeling framework to describe the uplink behavior of radio access in a sliced cell, including most features of the standard 3GPP multiple access procedures. Our model allows evaluating throughput and latency of each slice, as a function of cell parameters, when resources are in part dedicated to individual slices and in part shared. The availability of an accurate model is extremely important for the automated run time management of the cell and for the correct setting of its parameters. Indeed, our model considers most details of the behavior of sliced 5G cells, including Access Class Barring (ACB) and Random Access CHannel (RACH) pro- cedures, preamble decoding, Random Access Response (RAR), and Radio Resource Control (RRC) procedures. To cope with a number of slices devoted to serve various co- deployed tenants, we derive a multi-class queueing model of the network processor. We then present (i) an accurate and computationally efficient technique to derive the performance measures of interest using continuous-time Markov chains, which scales up to a few slices only, and (ii) tight performance bounds, which are useful to tackle the case of more than a fistful of slices. We prove the accuracy of the model by comparison against a detailed simulator. Eventually, with our performance evaluation study, we show that our model is very effective in providing insight and guidelines for allocation and management of resources in cells hosting slices for services with different characteristics and performance requirements, such as machine type communications and human type communications.

Item Type: Journal Articles
Uncontrolled Keywords: Radio access network; 5G; Base station; Slicing; Queuing networks; HTC and MTC coexistence.
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Vincenzo Mancuso
Date Deposited: 10 Nov 2020 10:31
Last Modified: 10 Nov 2020 10:31
URI: http://eprints.networks.imdea.org/id/eprint/2213

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