4.6 Article

Total Cost of Ownership of Digital vs. Analog Radio-Over-Fiber Architectures for 5G Fronthauling

Journal

IEEE ACCESS
Volume 8, Issue -, Pages 223562-223573

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.3044396

Keywords

5G; cloud radio access networks (C-RAN); optical fronthaul; radio-over-fiber; common public radio interface (CPRI); operational expenditure (CAPEX); operational expenditure (OPEX); total cost of ownership (TCO)

Funding

  1. Project Smart City Concepts in Curitiba [2019-04893]
  2. Swedish Research Council [2016-04510]
  3. ERDF [1.1.1.2/VIAA/4/20/660]
  4. VINNOVA-Sweden's Innovation Agency, through the Project Centre for Software-Defined Optical Networks [2017-01559]
  5. Vinnova [2017-01559] Funding Source: Vinnova

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The article analyzes the total cost of ownership (TCO) of 5G fronthauling solutions based on analog and digital radio-over-fiber (RoF) architectures in cloud radio access networks (C-RANs). The capital and operational expenditures (CAPEX, OPEX) are assessed, for a 10-year period, considering three different RoF techniques: intermediate frequency analog RoF (IF-A-RoF), digital signal processing (DSP) assisted analog RoF (DSP-A-RoF), and digital RoF (D-RoF) based on the common public radio interface (CPRI) specifications. The greenfield deployment scenario under exam includes both fiber trenching (FT) and fiber leasing (FL) options. The TCO is assessed while varying (i) the number of aggregated subcarriers, (ii) the number of three-sector antennas located at the base station, and (iii) the mean fiber-hop length. The comparison highlights the significance that subcarrier aggregation has on the cost efficiency of the analog RoF solutions. In addition, the analysis details the contribution of each cost category to the overall CAPEX and OPEX values. The obtained results indicate that subcarrier aggregation via DSP results in high cost efficiency for a mobile fronthaul network, while a CPRI-based architecture together with FL brings the highest OPEX value.

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