RT Conference Proceedings
T1 FluidRAN: Optimized vRAN/MEC Orchestration
A1 Garcia-Saavedra, Andrés
A1 Costa-Pérez, Xavier
A1 Leith, Douglas J.
A1 Iosifidis, George
AB Virtualized Radio Access Network (vRAN) architectures constitute a promising solution for the densification needsof 5G networks, as they decouple Base Stations (BUs) functionsfrom Radio Units (RUs) allowing the processing power to bepooled at cost-efficient Central Units (CUs). vRAN facilitatesthe flexible function relocation (split selection), and thereforeenables splits with less stringent network requirements comparedto state-of-the-art fully Centralized (C-RAN) systems. In thispaper, we study the important and challenging vRAN designproblem. We propose a novel modeling approach and a rigorousanalytical framework, FluidRAN, that minimizes RAN costs byjointly selecting the splits and the RUs-CUs routing paths. Wealso consider the increasingly relevant scenario where the RANneeds to support multi-access edge computing (MEC) services,that naturally favor distributed RAN (D-RAN) architectures.Our framework provides a joint vRAN/MEC solution thatminimizes operational costs while satisfying the MEC needs. Wefollow a data-driven evaluation method, using topologies of 3operational networks. Our results reveal that (i) pure C-RAN israrely a feasible upgrade solution for existing infrastructure, (ii)FluidRAN achieves significant cost savings compared to D-RANsystems, and (iii) MEC can increase substantially the operator’scost as it pushes vRAN function placement back to RUs.
PB IEEE
SN 978-1-5386-4128-6 (Electronic)
SN 978-1-5386-4129-3 (PoD)
YR 2018
FD 2018-10-11
LK https://hdl.handle.net/10016/28208
UL https://hdl.handle.net/10016/28208
LA eng
NO Proceeding of: IEEE Conference on Computer Communications, INFOCOM 2018, Honolulu, Hawai, USA, 16-19 April 2018
NO This work has received funding from the European UnionsHorizon 2020 research and innovation programme under grantagreement No 671598 (5G-Crosshaul project) and 761536(5G-Transformer project), and from Science Foundation Ireland (SFI) under Grant Number 17/CDA/4760
DS e-Archivo
RD 7 jul. 2024