QoS-Aware Resource Scheduling for IAB Networks

In the evolving landscape of Fifth-generation (5G) and beyond, Integrated Access and Backhaul (IAB) networks have emerged as a promising solution to extend coverage and enhance capacity without additional wired infrastructure. However, the dynamic allocation of radio resources on the shared access-backhaul spectrum in IAB networks presents challenges, particularly in meeting the diverse Quality of Service (QoS) requirements of today's services such as voice, video, and data. This paper introduces a heuristic-based, QoS-aware downlink scheduler specifically designed for radio resource scheduling in IAB networks. The proposed scheduler aims to enhance users' satisfaction by meeting users' delay requirements. We evaluate its performance using discrete-event simulations, demonstrating that our scheduler ensure the best Packet Delay Outage Ratio (PDOR) and the highest percentage of satisfied users compared to other tested schedulers.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/vtc2025-spring65109.2025.11174433
Primary Topic
Advanced Wireless Network Optimization
Type
article
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article

QoS-Aware Resource Scheduling for IAB Networks

Patrick Savelli, Chourouk Ghodhbane, Cédric Gueguen, Xavier Lagrange
Advanced Wireless Network Optimization
article

QoS-Aware Resource Scheduling for IAB Networks

Patrick Savelli, Chourouk Ghodhbane, Cédric Gueguen, Xavier Lagrange
article en

Abstract

In the evolving landscape of Fifth-generation (5G) and beyond, Integrated Access and Backhaul (IAB) networks have emerged as a promising solution to extend coverage and enhance capacity without additional wired infrastructure. However, the dynamic allocation of radio resources on the shared access-backhaul spectrum in IAB networks presents challenges, particularly in meeting the diverse Quality of Service (QoS) requirements of today's services such as voice, video, and data. This paper introduces a heuristic-based, QoS-aware downlink scheduler specifically designed for radio resource scheduling in IAB networks. The proposed scheduler aims to enhance users' satisfaction by meeting users' delay requirements. We evaluate its performance using discrete-event simulations, demonstrating that our scheduler ensure the best Packet Delay Outage Ratio (PDOR) and the highest percentage of satisfied users compared to other tested schedulers.

Institut de Recherche en Informatique et Systèmes Aléatoires (FR), IMT Atlantique (FR), Institut de Recherche Technologique B-com (FR), Université de Rennes (FR)
Openalex Percentile: Top 73%
Advanced Wireless Network Optimization
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QoS-Aware Resource Scheduling for IAB Networks — Patrick Savelli, Chourouk Ghodhbane, et al. · (2025) | TGRS Research Map | TGRS