Energy Efficiency in Network Slicing: Survey and Taxonomy
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arXiv
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866914358174416896 |
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| author | Donatti, Adnei Willian Machado, Marcia Cristina Martinez, Marvin Alexander Lopez Antunes, Sabino Rogério S. Souza, Eli Carlos Figueiredo Correa, Sand Ferreto, Tiago Suruagy, José Augusto Martins, Joberto S. B. Carvalho, Tereza Cristina |
| author_facet | Donatti, Adnei Willian Machado, Marcia Cristina Martinez, Marvin Alexander Lopez Antunes, Sabino Rogério S. Souza, Eli Carlos Figueiredo Correa, Sand Ferreto, Tiago Suruagy, José Augusto Martins, Joberto S. B. Carvalho, Tereza Cristina |
| contents | Network Slicing (NS) is a fundamental feature of 5G, 6G, and future mobile networks, enabling logically isolated virtual networks over shared infrastructure. As data demand increases and services diversify, ensuring Energy Efficiency (EE) in NS is vital (not only for operational cost savings but also to reduce the Information and Communication Technology (ICT) sector's environmental footprint). This survey addresses the need for a comprehensive and holistic perspective on energy-efficient NS by reviewing and classifying recent strategies across the NS life cycle. Our contributions are threefold: (i) a thorough review of state-of-the-art techniques aimed at reducing energy consumption in NS; (ii) a novel taxonomy that organizes strategies into infrastructure, path/route, and slice operation levels; and (iii) the identification of open challenges and research directions, with a focus on systemic, cross-layer, and AI-driven approaches. By consolidating insights from recent developments, our work bridges existing gaps in the literature, offering a structured foundation for researchers and practitioners to design, evaluate, and improve energy-efficient network slicing systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_17533 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Energy Efficiency in Network Slicing: Survey and Taxonomy Donatti, Adnei Willian Machado, Marcia Cristina Martinez, Marvin Alexander Lopez Antunes, Sabino Rogério S. Souza, Eli Carlos Figueiredo Correa, Sand Ferreto, Tiago Suruagy, José Augusto Martins, Joberto S. B. Carvalho, Tereza Cristina Networking and Internet Architecture Emerging Technologies Network Slicing (NS) is a fundamental feature of 5G, 6G, and future mobile networks, enabling logically isolated virtual networks over shared infrastructure. As data demand increases and services diversify, ensuring Energy Efficiency (EE) in NS is vital (not only for operational cost savings but also to reduce the Information and Communication Technology (ICT) sector's environmental footprint). This survey addresses the need for a comprehensive and holistic perspective on energy-efficient NS by reviewing and classifying recent strategies across the NS life cycle. Our contributions are threefold: (i) a thorough review of state-of-the-art techniques aimed at reducing energy consumption in NS; (ii) a novel taxonomy that organizes strategies into infrastructure, path/route, and slice operation levels; and (iii) the identification of open challenges and research directions, with a focus on systemic, cross-layer, and AI-driven approaches. By consolidating insights from recent developments, our work bridges existing gaps in the literature, offering a structured foundation for researchers and practitioners to design, evaluate, and improve energy-efficient network slicing systems. |
| title | Energy Efficiency in Network Slicing: Survey and Taxonomy |
| topic | Networking and Internet Architecture Emerging Technologies |
| url | https://arxiv.org/abs/2511.17533 |