Planning a Cost-Effective Delay-Constrained Passive Optical Network for 5G Fronthaul

Abdulhalim Fayad; Manish Jha; Tibor Cinkler; Jacek Rak

doi:10.23919/ondm54585.2022.9782857

Planning a Cost-Effective Delay-Constrained Passive Optical Network for 5G Fronthaul

Abstract

With the rapid growth in the telecommunications industry moving towards 5G and beyond (5GB) and the emergence of data-hungry and time-sensitive applications, Mobile Network Operators (MNOs) are faced with a considerable challenge to keep up with these new demands. Cloud radio access network (CRAN) has emerged as a cost-effective architecture that improves 5GB performance. The fronthaul segment of the CRAN necessitates a high-capacity and low-latency connection. Optical technologies presented by Passive Optical Networks (PON) have gained attention as a promising technology to meet the fronthaul challenges. In this paper, we proposed an Integer Linear Program (ILP) that optimizes the total cost of ownership (TCO) for 5G using CRAN architecture under different delay thresholds. We considered the Time and Wavelength Division Multiplexing Passive Optical Network (TWDM-PON) as a fronthaul with different splitting ratios.

Citations

7

CrossRef
0

Web of Science
8

Scopus

Authors (4)

Abdulhalim Fayad
- Budapest University of Technology and Economics
Manish Jha
- Budapest University of Technology and Economics
Tibor Cinkler prof. dr hab. inż.
Jacek Rak dr hab. inż.

Cite as

Full text

full text is not available in portal

full content of the article see on external site open in new tab

Keywords

Details

Category:: Conference activity
Type:: publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:: 2022 International Conference on Optical Network Design and Modeling (ONDM) strony 1 - 6
Language:: English
Publication year:: 2022
Bibliographic description:: Fayad A., Jha M., Cinkler T., Rak J.: Planning a Cost-Effective Delay-Constrained Passive Optical Network for 5G Fronthaul// 2022 International Conference on Optical Network Design and Modeling (ONDM)/ : , 2022, s.1-6
DOI:: Digital Object Identifier (open in new tab) 10.23919/ondm54585.2022.9782857
Verified by:: Gdańsk University of Technology