arXiv subjects

J. Gozálvez

Publications and source records attributed to J. Gozálvez.

3 recordsLinked to original sources

arXiv2026

Direct-V2X Support with 5G Network-based Communications: Performance, Challenges and Solutions

This study analyzes the feasibility of supporting critical V2X services using 5G network-based Vehicle-to-Network-to-Vehicle (V2N2V) communications. The study evaluates the end-to-end latency of 5G V2N2V communications under different network deployments in single and multi-operator scenarios. The study shows that critical V2X services can be supported using 5G V2N2V communications over MEC-based network deployments. However, this requires the use of local peering points and shared data centers or MEC federation to address challenges arising from asymmetric network deployments. This opens the possibility for V2N2V communications to complement direct Vehicle-to-Vehicle (V2V) connections for increased reliability or to offload traffic under sidelink network congestion.

cs.NI↗

arXiv2026

Integration of 5G and Industrial Digital Models: A Case Study with AGVs

5G is a fundamental technology for the digitalization of smart manufacturing. Smart manufacturing relies on the use of digital models to optimize industrial processes before implementation on the manufacturing plants. These models should account for the impact of 5G communications to adequately dimension and optimize 5G-based industrial processes. This paper presents the first integration of industrial digital models with a 5G digital model, implemented as an Asset Administration Shell (AAS) of a 5G system. The two models are interconnected using an OPC UA-based interface. We evaluate the impact of the integrated model using a use case where Automated Guided Vehicles (AGVs) transport material from a warehouse to production lines. The AGVs periodically exchange their positions over 5G to avoid potential collisions. If the communications fail, the AGVs stop for safety reasons until a reliable 5G connection can be guaranteed. We demonstrate that, by integrating 5G and industrial digital models, it is possible to account for, and quantify, the impact of 5G communications on the operation and productivity of industrial processes. This result highlights the importance and necessity of integrating 5G into industrial digital models for their joint design and optimization.

cs.NI↗

arXiv2026

5G Network Architecture and Configuration Choices to Support Teleoperated Driving at Scale

Teleoperated driving (ToD) enables the remote driving or control of vehicles. For this purpose, vehicles must transmit video feeds to the ToD control center so that the remote operator is fully aware of the driving conditions and can safely control the vehicle. 5G (and beyond) networks are fundamental for the deployment of ToD as they can provide the low latency, reliable and broadband connection necessary to connect the vehicle and ToD control center. However, it is unclear whether common 5G network architectures and configurations are well-suited to support the simultaneous teleoperation of multiple vehicles with demanding uplink bandwidth, as current networks are mainly configured to support mobile broadband services. This paper demonstrates that MEC or edge-based 5G networks are better suited to support and scale the ToD service than centralized networks, and quantifies the bandwidth required to simultaneously teleoperate multiple vehicles under various 5G network architectures and configurations, including different duplexing modes and TDD frame structures. Finally, the study shows that the configuration of the control channels can help mitigate the impact that the processing time of the video feeds has on the capacity to support and scale the ToD service.

cs.NI↗