Scholarlink

<p>6G networks must simultaneously provide extreme data rates and support ultra-reliable low-latency communication services. We present a calibrated simulation framework for downlink orthogonal frequency-division multiple access (OFDMA) systems with reconfigurable intelligent surfaces (RIS) and network slicing. A proportional-fairness scheduler with ultra-reliable low-latency communications (URLLC) subcarrier reservation is combined with a water-filling-based minimum-power allocation to satisfy rate-based URLLC quality of service (QoS). Monte-Carlo experiments highlight the trade-offs between throughput, fairness, spectral and energy efficiency, and URLLC satisfaction. Results show that RIS and slice-aware scheduling significantly improve system-level key performance indicators (KPIs).</p>

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QoS-aware resource allocation in 6G OFDMA systems with RIS and network slicing

  • 期刊论文

  • 发表日期：

    2026年5月31日

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  • Yacine Ouazziz,
  • Dina Alkama

摘要

6G networks must simultaneously provide extreme data rates and support ultra-reliable low-latency communication services. We present a calibrated simulation framework for downlink orthogonal frequency-division multiple access (OFDMA) systems with reconfigurable intelligent surfaces (RIS) and network slicing. A proportional-fairness scheduler with ultra-reliable low-latency communications (URLLC) subcarrier reservation is combined with a water-filling-based minimum-power allocation to satisfy rate-based URLLC quality of service (QoS). Monte-Carlo experiments highlight the trade-offs between throughput, fairness, spectral and energy efficiency, and URLLC satisfaction. Results show that RIS and slice-aware scheduling significantly improve system-level key performance indicators (KPIs).