Optimizing QoS MAC Scheduling in 5G NR: A Lyapunov Approach Evaluated With XR Traffic

5th Generation (5G) and beyond technologies are designed to convey multiple Quality of Service (QoS) requirements coming from highly heterogeneous services. In this regard, 5G extends the QoS definition of previous technologies. In order to fulfill the requirements of new services, it is necessary t...

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Bibliographic Details
Authors: Villegas, N, Larrañaga, A, Diez, L, Koutlia, K, Lagén, S, Agüero, R
Format: article
Status:Published version
Publication Date:2026
Country:España
Institution:Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Repository:r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
OAI Identifier:oai:cttc.fundanetsuite.com:p8794
Online Access:https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8794
Access Level:Open access
Keyword:Quality of service
5G mobile communication
Bit rate
Resource management
OFDM
Long Term Evolution
Radio spectrum management
Performance evaluation
Frequency conversion
Downlink
5G
MAC scheduler
QoS
Lyapunov
XR
ns-3
Description
Summary:5th Generation (5G) and beyond technologies are designed to convey multiple Quality of Service (QoS) requirements coming from highly heterogeneous services. In this regard, 5G extends the QoS definition of previous technologies. In order to fulfill the requirements of new services, it is necessary to develop resource management solutions that effectively and efficiently translate them to usage of resources. Therefore, MAC schedulers are to be designed to accommodate the demands of emerging applications with stringent QoS requirements, such as eXtended Reality (XR). In this work, we introduce a Lyapunov-based Medium Access Control (MAC) scheduler designed to appropriately tackle coexisting heterogeneous QoS flows. The proposed approach allows the implementation of policies that explicitly consider the QoS requirements, as well as an efficient use of allocated resources. The results obtained through extensive experiments over the ns-3 5G-LENA simulator demonstrate that our scheduler guarantees the required time-average bit rate for every QoS flow at every time window, while ensuring the stability of traffic queues for all users.

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