Efficient Virtual Network Function Placement Strategies for Cloud Radio Access Networks
Deval Bhamare, Aiman Erbad, Raj Jain, Maede Zolanvari, Mohammed Samaka

TL;DR
This paper addresses the challenge of optimally placing virtual functions in Cloud Radio Access Networks (CRANs) to meet 5G latency and cost requirements, proposing heuristic algorithms and enhancements for improved efficiency.
Contribution
It introduces a combinatorial optimization model for VF placement in CRANs and develops enhanced heuristics that improve solution quality and reduce complexity.
Findings
Enhanced heuristics outperform standard methods in latency and cost reduction.
Proposed algorithms significantly decrease execution complexity.
Optimized VF placement improves CRAN performance for 5G networks.
Abstract
The new generation of 5G mobile services places stringent requirements for cellular network operators in terms of latency and costs. The latest trend in radio access networks (RANs) is to pool the baseband units (BBUs) of multiple radio base stations and to install them in a centralized infrastructure, such as a cloud, for statistical multiplexing gains. The technology is known as Cloud Radio Access Network (CRAN). Since cloud computing is gaining significant traction and virtualized data centers are becoming popular as a cost-effective infrastructure in the telecommunication industry, CRAN is being heralded as a candidate technology to meet the expectations of radio access networks for 5G. In CRANs, low energy base stations (BSs) are deployed over a small geographical location and are connected to a cloud via finite capacity backhaul links. Baseband processing unit (BBU) functions are…
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