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Enabling Green Cellular Networks: A Review and Proposal Leveraging Software-Defined Networking, Network Function Virtualization, and Cloud-Radio Access Network

Furkejuvvon:
Publikašuvnnas:Future Internet vol. 17, no. 4 (2025), p. 161
Váldodahkki: Singh, Radheshyam
Eará dahkkit: Larsen Line M. P., Eder, Ollora Zaballa, Berger, Michael Stübert, Kloch, Christian, Dittmann, Lars
Almmustuhtton:
MDPI AG
Fáttát:
Network function virtualization
Software
Internet of Things
Smartphones
Communication
Emissions
Energy storage
Virtual networks
Energy resources
Power consumption
Cellular communication
Energy consumption
Computer centers
Solar energy
Renewable resources
Carbon dioxide
Optimization
Energy conversion efficiency
Communications networks
Software-defined networking
Communications systems
Energy efficiency
Linear programming
Alternative energy sources
Real time
Video transmission
Liŋkkat:Citation/Abstract
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Abstrákta:The increasing demand for enhanced communication systems, driven by applications such as real-time video streaming, online gaming, critical operations, and Internet-of-Things (IoT) services, has necessitated the optimization of cellular networks to meet evolving requirements while addressing power consumption challenges. In this context, various initiatives undertaken by industry, academia, and researchers to reduce the power consumption of cellular network systems are comprehensively reviewed. Particular attention is given to emerging technologies, including Software-Defined Networking (SDN), Network Function Virtualization (NFV), and Cloud-Radio Access Network (C-RAN), which are identified as key enablers for reshaping cellular infrastructure. Their collective potential to enhance energy efficiency while addressing convergence challenges is analyzed, and solutions for sustainable network evolution are proposed. A conceptual architecture based on SDN, NFV, and C-RAN is presented as an illustrative example of integrating these technologies to achieve significant power savings. The proposed framework outlines an approach to developing energy-efficient cellular networks, capable of reducing power consumption by approximately 40 to 50% through the optimal placement of virtual network functions.
ISSN:1999-5903
DOI:10.3390/fi17040161
Gáldu:ABI/INFORM Global