Published April 16, 2023 | Version v1
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Communication Slice Allocation for Network Slicing - Position Points

Creators

  • 1. Salvador University (UNIFACS), Brazil

Description

The paper explores the AI and machine learning-based allocation of communication resources for network slicing. It discusses the latest trends and technologies for resource allocation in the context of network slicing. The paper analyzes the application areas and market trends of network slicing, highlighting the need for optimized resource allocation and communication slice design. It presents a SARSA agent-based approach for interdomain communication slice optimization and emphasizes the importance of SDN as an enabler for network slicing. The paper concludes by proposing position points that can guide future research and development in this field.

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