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Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
Published on: February 3, 2021
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A Comprehensive Overview of Network Slicing for Improving the Energy Efficiency of Fifth-Generation Networks
Josip Lorincz1, Amar Kukuruzović1, Zoran Blažević1
1Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), University of Split, 21000 Split, Croatia.
Sensors (Basel, Switzerland)
|May 25, 2024
Summary
Network slicing in fifth-generation (5G) mobile networks can significantly reduce energy consumption and operational costs for mobile network operators. This technology optimizes resource allocation, leading to lower energy demand and environmental impact.
Area of Science:
- Telecommunications Engineering
- Computer Networks
- Sustainable Technology
Background:
- Fifth-generation (5G) mobile networks increase energy consumption and operational costs for mobile network operators (MNOs).
- Optimizing 5G energy efficiency is vital for cost reduction and mitigating environmental impact.
- 5G network slicing, a standardized concept, allows multiple logical networks on shared infrastructure.
Purpose of the Study:
- To analyze the potential of 5G network slicing in improving energy efficiency for 5G and future sixth-generation (6G) networks.
- To investigate the energy demand associated with various network slicing use cases and mobile virtual network operator (MVNO) realizations.
- To review standardized key performance indicators (KPIs) for assessing 5G network slice energy efficiency and discuss lifecycle management.
Main Methods:
- Comprehensive review of 5G network slicing implementations and energy demand.
- Analysis of diverse use case scenarios, approaches, and resource allocation strategies (space, time, frequency domains).
- Inclusion of artificial intelligence (AI)-based network slicing implementations.
Main Results:
- Network slicing enables the efficient use of necessary resources for specific network slices.
- Discussion covers versatile use cases, resource allocation concepts, and AI-driven approaches.
- Standardized KPIs and lifecycle management aspects of energy efficiency are overviewed.
Conclusions:
- Different network slicing implementations and approaches offer pathways to reduce MNO energy costs.
- Network slicing has the potential to decrease carbon dioxide emissions in future mobile networks.
- Efficient network slicing is a key enabler for optimizing 5G energy consumption.
Keywords:
5GMNOenergy efficiencynetwork slicesoftware define network (SDN)third-generation partnership project (3GPP)virtual network function (VNF)More Related Videos
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