CORTEXA
← Browse
arxivcs.NI2026-07-01

Latency-Sensitive 5G RAN Slicing for Industry 4.0

Jan García-Morales, M. Carmen Lucas-Estañ, Javier Gozalvez

Network slicing is a novel 5G paradigm that exploits the virtualization and softwarization of networks to create different logical network instances over a common network infrastructure. Each instance is tailored for specific Quality of Service (QoS) profiles so that network slicing can simultaneously support several services with diverse requirements. Network slicing can be applied at the Core Network or at the Radio Access Network (RAN). RAN slicing is particularly relevant to support latency-sensitive or timecritical applications since the RAN accounts for a significant part of the end-to-end transmission latency. In this context, this study proposes a novel latency-sensitive 5G RAN slicing solution. The proposal includes schemes to design slices and partition (or allocate) radio resources among slices. These schemes are designed with the objective to satisfy both the rate and latency demands of diverse applications. In particular, this study considers applications with deterministic aperiodic, deterministic periodic and nondeterministic traffic. The latency-sensitive 5G RAN slicing proposal is evaluated in Industry 4.0 scenarios where stringent and/or deterministic latency requirements are common. However, it can be evolved to support other verticals with latency-sensitive or time-critical applications.

View free PDFSource page

Related papers

arxivcs.NI2026-06-30Cited by 2

Latency-Sensitive 5G RAN Slicing for Deterministic Aperiodic Traffic in Smart Manufacturing

M. Carmen Lucas-Estañ, Jan García-Morales, Javier Gozalvez

5G and beyond networks will support the digitalization of smart manufacturing thanks to their capacity to simultaneously serve different types of traffic with distinct QoS requirements. This can be achieved using Network Slicing that creates different logical network partitions (…

View free PDFSource page
arxivcs.NI2026-07-01

5G Configured Grant Scheduling for 5G-TSN Integration for the Support of Industry 4.0

Ana Larrañaga, M. Carmen Lucas-Estañ, Imanol Martinez, Javier Gozalvez

Factories are evolving towards digitalized data-based ecosystems under the paradigm of the Industry 4.0 where new industrial services allow the implementation of more robust, resilient and customized manufacturing systems. Such services (e.g., digital twins, extended reality or c…

View free PDFSource page
arxivcs.NI2026-06-30Cited by 8

Configured Grant Scheduling for the Support of TSN Traffic in 5G and Beyond Industrial Networks

M. Carmen Lucas-Estañ, Ana Larrañaga, Javier Gozalvez, Imanol Martínez

5G and beyond networks can facilitate the digital transformation of manufacturing and support more flexible and reconfigurable factories with ubiquitous mobile connectivity. This requires integrating 5G networks with industrial networks that increasingly rely on TSN (Time Sensiti…

View free PDFSource page
arxivcs.NI2026-07-31

METIS: A Declarative Slice Orchestrator for Application-Centric 5G/6G Networks

Arman Divband, Ali Yaghoubian, Navid Nikaein

Network slicing is the cornerstone of application-aware 5G and 6G networks, yet dynamic lifecycle management of network slice instances with coordinated quality-of-service enforcement across the radio access network and core network remains unresolved. Existing orchestrators rely…

View free PDFSource page
arxivcs.NI2026-07-16

Assisting Mission-Critical Traffic Flows with Active Queue Management in Industrial Internet of Things

Shuo Wang, Jonathan Kua, Jiong Jin, Yew Wee Wong, Prem Prakash Jayaraman, Zhibo Pang

Mission-critical Industrial Internet of Things (IIoT) traffic flows require bounded network latency and jitter guarantees to ensure the safe functioning of critical industrial infrastructure. These flows are typically communicated via commodity network routers with conventional F…

View free PDFSource page
arxivcs.NIcs.PF2026-07-04

Evaluating 5G-connected IoT for Power Line Temperature Prediction: Real-World Latency and Cost Trade-offs Between MEC and Cloud

Aakash Sharma, Sigmund Akselsen, Anders Andersen, Lars Ailo Bongo, Arne Munch-Ellingsen

One of the key promises of Mobile Edge Computing (MEC) is its low latency. Current large-scale IoT deployments rely on cloud for their reliability, low cost, and ease of use. For outdoor IoT deployments, 5G cellular networks offer significantly enhanced bandwidth and dramatically…

View free PDFSource page