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Comprehensive Analysis of Network Slicing for the Developing Commercial Needs and Networking Challenges.
Sumbal Zahoor1, Ishtiaq Ahmad1, Mohamed Tahar Ben Othman2
1Department of Electrical Engineering, The University of Lahore, Lahore 54000, Pakistan.
Sensors (Basel, Switzerland)
|September 9, 2022
Summary
Network slicing (NS) enables customized 5G networks for diverse business needs. This article explores NS commercial aspects, automation needs, and AI/ML integration for future research.
Area of Science:
- Telecommunications Engineering
- Computer Networking
- 5G Technology
Background:
- Network slicing (NS) is a key 5G use case enabling scalable, customized logical networks.
- Communication Service Providers (CSPs) can tailor networking solutions to specific customer requirements.
- The demand for bespoke network solutions is critical in diverse business environments.
Purpose of the Study:
- To provide a commercial overview of network slicing.
- To highlight the necessity of a slicing automation and orchestration framework.
- To examine current NS project objectives and functional execution of NS code flow.
Main Methods:
- Review of commercial aspects and use cases of network slicing.
- Analysis of automation and orchestration requirements for NS.
- Summary of activities in standards development groups and industrial forums concerning AI/ML in NS.
Main Results:
- Identified the commercial viability and benefits of network slicing for CSPs.
- Addressed the complexity of NS code flow and the need for robust orchestration.
- Summarized AI/ML integration efforts and standardization activities.
Conclusions:
- Network slicing offers significant potential for 5G infrastructure utilization.
- Automation and orchestration are crucial for efficient NS deployment and management.
- Open research problems and potential solutions are identified for future network slicing advancements.
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