Functional Split-Aware Optimal BBU Placement for 5G Cloud-RAN Over WDM Access/Aggregation Network

Fifth generation (5G) cloud-radio access network (C-RAN) aims at providing better performance and support to various applications with stringent data rate and latency requirements. In C-RAN, the processing units, known as the baseband units (BBUs), are segregated from the individual remote radio hea...

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Bibliographic Details
Published in:IEEE systems journal 2023-03, Vol.17 (1), p.122-133
Main Authors: Ahsan, Muhammad, Ahmed, Ashfaq, Al-Dweik, Arafat, Ahmad, Arsalan
Format: Article
Language:English
Subjects:
5G mobile communication
Algorithms
Bandwidth
Baseband unit (BBU) placement
Cloud computing
cloud-radio access network (C-RAN)
Computer networks
Costs
fifth generation (5G)
Heuristic methods
Hotels
Integer programming
Linear programming
mixed functional split
Placement
Resource allocation
Resource management
Topology
Wavelength division multiplexing
wavelength division multiplexing (WDM) network
WDM networks
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Summary:Fifth generation (5G) cloud-radio access network (C-RAN) aims at providing better performance and support to various applications with stringent data rate and latency requirements. In C-RAN, the processing units, known as the baseband units (BBUs), are segregated from the individual remote radio heads (RRHs) and moved to a convenient location to serve more than one RRH. This migration leads to an efficient resource allocation and cost-effective solution at the expense of a huge fronthaul traffic between the RRH and BBU hotel. The required fronthaul data rate largely depends on the employed functional split options. In this article, we propose a novel optimal BBU placement with a mixed functional split scheme to combat the fronthaul latency challenge while providing the network with greater flexibility and cost reduction. We introduce an integer linear programming (ILP)-based BBU placement problem with a mixed functional split selection approach to simultaneously minimize the number of BBU hotels and fibers, thereby reducing the network cost. Furthermore, a heuristic algorithm is proposed to solve the proposed model for large network scenarios. The obtained results show that an improvement of 25% and 50% is realized with the proposed scheme over the conventional fixed split option scheme for small and large network scenarios, respectively.
ISSN:1932-8184
1937-9234
DOI:10.1109/JSYST.2022.3150468