Work

Decomposing Delay in 5G: An Empirical Study on Architecture and Configuration Impact

Year: 2025

Type: conference-paper

Abstract: 5G networks have the potential for ultra-low latency communication, supporting a broad array of critical and delay-sensitive applications. However, end-to-end performance prediction in 5G scenarios is still a challenging problem, given the complexity of the system architecture and the interconnection of a multitude of interrelated parameters that contribute to delay. In this work, we report an experiment-driven investigation on the basis of an actual standalone 5G deployment to better understand how interdependent configuration parameters, such as TDD configuration and scheduling request (SR) settings, contribute to round-trip time (RTT). For instance, in a 2 ms TDD configuration, RTT was reduced by 30% after aligning SR periodicity with the frame structure, highlighting the decisive impact of scheduling configuration. Through the integration of fine-grained measurement and delay component analysis, we reveal the major contributors to latency and highlight the crucial role of empirical assessment and careful parameter tuning in realizing dependable low-latency operation in 5G networks.

Source: IEEE Conference on Standards for Communications and Networking

DOI: 10.1109/cscn67557.2025.11230749

Authors: MohammadBagher Tavassoli, Chadi Barakat, Thierry Turletti, Walid Dabbous

Institutions: Centre Inria d'Université Côte d'Azur, DIANA: Conception, Mise en oeuvre et Analyse d'Architectures Réseau

Language: English

Topic: Advanced Wireless Network Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: Agence Nationale de la Recherche