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<p>The explosive growth of the Internet of Things (IoT) has driven the development of specialized communication technologies to meet diverse traffic requirements. Narrowband IoT (NB-IoT) is a promising low-power wide-area network (LPWAN) technology designed to support massive machine-type communication (MTC) with delay-tolerant transmission. However, MTC also presents new challenges for NB-IoT, particularly in meeting stringent low-latency and high-reliability requirements. It is therefore important to identify scheduling and resource allocation techniques that enable low-latency applications to achieve their goals. To address these challenges, this paper employs realistic simulations across a variety of traffic scenarios, focusing on uplink scheduling and resource allocation management. We (1) analyze the components contributing to the Quality of Service (QoS) for NB-IoT devices, (2) evaluate the performance of prioritized scheduling schemes and resource unit (RU) configurations for uplink transmission modes, and highlight potential improvements to reduce latency for delay-sensitive traffic, and (3) propose and evaluate a novel hybrid scheduling solution called the Gap-Aware Hybrid Scheduling (GAHUS) algorithm. Our approach enhances network efficiency by prioritizing delay-sensitive traffic to meet QoS requirements. Through simulations, comparisons, and performance evaluations, we demonstrate the effectiveness of GAHUS in exploiting free resource gaps created during long uplink transmissions. The results show that GAHUS supports massive MTC traffic while ensuring reliable performance for delay-sensitive traffic by minimizing rejections and delays.</p>

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Advancing NB-IoT communication: performance analysis and novel gap-aware hybrid scheduling for delay-sensitive traffic

  • 期刊论文

  • 发表日期：

    2025年11月22日

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  • Salem Trabelsi,
  • Salah Gontara,
  • Sana Bougharriou,
  • Abdellatif Mtibaa

摘要

The explosive growth of the Internet of Things (IoT) has driven the development of specialized communication technologies to meet diverse traffic requirements. Narrowband IoT (NB-IoT) is a promising low-power wide-area network (LPWAN) technology designed to support massive machine-type communication (MTC) with delay-tolerant transmission. However, MTC also presents new challenges for NB-IoT, particularly in meeting stringent low-latency and high-reliability requirements. It is therefore important to identify scheduling and resource allocation techniques that enable low-latency applications to achieve their goals. To address these challenges, this paper employs realistic simulations across a variety of traffic scenarios, focusing on uplink scheduling and resource allocation management. We (1) analyze the components contributing to the Quality of Service (QoS) for NB-IoT devices, (2) evaluate the performance of prioritized scheduling schemes and resource unit (RU) configurations for uplink transmission modes, and highlight potential improvements to reduce latency for delay-sensitive traffic, and (3) propose and evaluate a novel hybrid scheduling solution called the Gap-Aware Hybrid Scheduling (GAHUS) algorithm. Our approach enhances network efficiency by prioritizing delay-sensitive traffic to meet QoS requirements. Through simulations, comparisons, and performance evaluations, we demonstrate the effectiveness of GAHUS in exploiting free resource gaps created during long uplink transmissions. The results show that GAHUS supports massive MTC traffic while ensuring reliable performance for delay-sensitive traffic by minimizing rejections and delays.