Impact of Slice Granularity in Centralization Benefit of 5G Radio Access Network

Franklin, Antony A. and Sen, Nabhasmita (2020) Impact of Slice Granularity in Centralization Benefit of 5G Radio Access Network. In: 6th IEEE Conference on Network Softwarization, NetSoft 2020Virtual, Online, 29 June 2020 to 3 July 2020.

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Abstract

5G Mobile network will reap the benefits from key technologies like Software Defined Networking and Network Function Virtualization. Cloud Radio Access Network architecture (Cloud RAN) is proven to be a promising architecture, but fully centralized Cloud RAN imposes a great bandwidth requirement in the fronthaul link. Different functional split options for 5G RAN have been proposed which lead to a trade-off between centralization and bandwidth requirement. Functional split at different granularity such as per cell, per logical network (slice), per user, or per bearer, have been an area of interest. To explore the effect of slice granularity in adaptive splits for slices, we formulate slice centric functional split in 5G RAN as an ILP to maximize centralization of baseband processing. By varying the slice granularity from macro slicing to micro slicing, we observe how slice centric split can impact centralization benefit of the network. We show that with increasing slice granularity slice centric split can render more centralization benefit in some scenarios but a trade off exists between centralization benefit and migration cost in the network which should be carefully considered in real deployment scenario. © 2020 IEEE.

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IITH Creators:
IITH CreatorsORCiD
Franklin, Antony A.https://orcid.org/0000-0002-1809-2025
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Centralized Unit (CU); Cloud RAN; Distributed Unit (DU); Functional split; Network Slice
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 23 Nov 2022 10:06
Last Modified: 23 Nov 2022 10:06
URI: http://raiithold.iith.ac.in/id/eprint/11199
Publisher URL: https://doi.org/10.1109/NetSoft48620.2020.9165366
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