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<p>This study explores the optimization of educational resource allocation using 6G network slicing and artificial intelligence technology. With the rapid advancement of 6G and AI, educational resources can be dynamically allocated to ensure efficient and real-time processes in multimedia services, cloud computing, and IoT applications. AI monitors resource usage, adjusting allocations to reduce network congestion and resource waste. Experimental results show a 25% improvement in resource efficiency and a 15% reduction in network latency compared to traditional methods. The integration of IoT services and wireless sensor networks further enhances smart classrooms and distance education. Overall, combining 6G slicing with AI provides an innovative method for optimizing educational resource allocation, significantly improving service quality and efficiency.</p>

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Research on optimization of educational resource allocation based on the combination of 6G network slicing and artificial intelligence technology

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月11日

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  • Pan Wang,
  • Erna Shi

摘要

This study explores the optimization of educational resource allocation using 6G network slicing and artificial intelligence technology. With the rapid advancement of 6G and AI, educational resources can be dynamically allocated to ensure efficient and real-time processes in multimedia services, cloud computing, and IoT applications. AI monitors resource usage, adjusting allocations to reduce network congestion and resource waste. Experimental results show a 25% improvement in resource efficiency and a 15% reduction in network latency compared to traditional methods. The integration of IoT services and wireless sensor networks further enhances smart classrooms and distance education. Overall, combining 6G slicing with AI provides an innovative method for optimizing educational resource allocation, significantly improving service quality and efficiency.