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<p>This paper discusses the significance of network slicing as a key enabling technology for the delivery of customized services through the logical decentralization of the 5&#xa0;G Radio Access Network (RAN) framework. It focuses on three major services: enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable low-latency communication (URLLC), using static and dynamic network slicing algorithms with resource allocations managed through orthogonalization. To evaluate the performance metrics such as Latency, Packet Error Probability, and Spectrum Efficiency under different scenarios, Python based simulations were conducted. Additionally, trade-offs among these services and scalability under increasing load/users were also discussed. The results demonstrate the slicing schemes outperformed compared to the single channel scenario. Finally, the paper highlights key challenges, potential solutions and recommendations for implementing Wi-Fi RAN slicing.</p>

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An Efficient 5 G-RAN Slicing Strategy in Wi-Fi Networks for eMBB, mMTC and URLLC Services using Static/Dynamic Algorithms

  • 期刊论文

  • 发表日期：

    2025年11月3日

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  • Manish Sharma,
  • Anand Agrawal

摘要

This paper discusses the significance of network slicing as a key enabling technology for the delivery of customized services through the logical decentralization of the 5 G Radio Access Network (RAN) framework. It focuses on three major services: enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable low-latency communication (URLLC), using static and dynamic network slicing algorithms with resource allocations managed through orthogonalization. To evaluate the performance metrics such as Latency, Packet Error Probability, and Spectrum Efficiency under different scenarios, Python based simulations were conducted. Additionally, trade-offs among these services and scalability under increasing load/users were also discussed. The results demonstrate the slicing schemes outperformed compared to the single channel scenario. Finally, the paper highlights key challenges, potential solutions and recommendations for implementing Wi-Fi RAN slicing.