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Adaptive Function Chaining for Efficient Design of 5G Xhaul

Abstract : Next generation fronthaul interface has been recently proposed to support different functional splits in 5G access networks. Each split option is characterized by different requirements in terms of latency and bandwidth. The mapping of different functional splits on the nodes of 5G access network introduces several degrees of freedom in relation to the variation of the traffic during the day. This paper proposes a novel function location algorithm, which adopts dynamic function chaining in relation to the evolution of the traffic estimate. The obtained results show remarkable improvement in terms of bandwidth saving and multiplexing gain with respect to conventional C-RAN fronthaul and suggest design criteria for the emerging 5G access network.
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https://hal.inria.fr/hal-03200678
Contributor : Hal Ifip <>
Submitted on : Friday, April 16, 2021 - 5:07:44 PM
Last modification on : Friday, April 16, 2021 - 5:38:21 PM

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Bahare Khorsandi, Didier Colle, Wouter Tavernier, Carla Raffaelli. Adaptive Function Chaining for Efficient Design of 5G Xhaul. 23th International IFIP Conference on Optical Network Design and Modeling (ONDM), May 2019, Athens, Greece. pp.94-107, ⟨10.1007/978-3-030-38085-4_9⟩. ⟨hal-03200678⟩

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