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


Por: Villegas, N, Larrañaga, A, Diez, L, Koutlia, K, Lagén, S, Agüero, R

Publicada: 1 ene 2026
Resumen:
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. © 2004-2012 IEEE.

Filiaciones:
Villegas, N:
 Universidad de Cantabria, Santander, Cantabria, Spain

Larrañaga, A:
 Centre Tecnològic de Telecomunicacions de Catalunya, Castelldefels, Barcelona, Spain

Diez, L:
 Universidad de Cantabria, Santander, Cantabria, Spain

Koutlia, K:
 Centre Tecnològic de Telecomunicacions de Catalunya, Castelldefels, Barcelona, Spain

Lagén, S:
 Centre Tecnològic de Telecomunicacions de Catalunya, Castelldefels, Barcelona, Spain

Agüero, R:
 Universidad de Cantabria, Santander, Cantabria, Spain
ISSN: 19324537
Editorial
Institute of Electrical and Electronics Engineers Inc., 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA, Estados Unidos America
Tipo de documento: Article
Volumen: 23 Número:
Páginas: 910-924
WOS Id: 001655693000017
imagen Green Published, hybrid, All Open Access; Green Open Access; Hybrid Gold Open Access

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