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5G RAN: Functional Split Orchestration Optimization

delete2020-07-01
delete39
PRE
AI
S
Salma Matoussi *
I
Ilhem Fajjari
S
Salvatore Costanzo
N
Nadjib Aitsaadi
R
Rami Langar
DOI:10.1109/JSAC.2020.2999685delete
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Abstract

Abstract

En 中文
5G RAN aims to evolve new technologies spanning the Cloud infrastructure, virtualization techniques and Software Defined Network capabilities. Advanced solutions are introduced to split the functions of the Radio Access Network (RAN) between centralized and distributed locations. Such paradigms improve RAN flexibility and reduce the infrastructure deployment cost without impacting the user quality of service. We propose a novel functional split orchestration scheme that aims at minimizing the RAN deployment cost, while considering the requirements of its processing network functions and the capabilities of the Cloud infrastructure. With a fine grained approach on user basis, we show that the proposed solution optimizes both processing and bandwidth resource usage, while minimizing the overall energy consumption compared to i) cell-centric, ii) distributed and iii) centralized Cloud-RAN approaches. Moreover, we evaluate the effectiveness of our proposal in a 5G experimental prototype, based on Open Air Interface (OAI). We show that our solution achieves good performance in terms of total deployment cost and resolution time.
Keywords:
Computer architecture
Computational modeling
Cloud computing
Bandwidth
5G mobile communication
Resource management
Optimization
C-RAN
NFV
functional split
heuristic
PSO
optimization
OAI
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Journal

IEEE Journal on Selected Areas in Communications cover
IEEE Journal on Selected Areas in Communications
IF:
17.2
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6.4K
Citations:
3.1W

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U
universite gustave-eiffel
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ESIEE Paris cover
ESIEE Paris
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ecole des ponts paristech
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institut polytechnique de paris
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