7 citations · 17 across the 24 of their papers we have counts for
26 papers
Task Offloading and Resource Allocation for Deterministic Service Provisioning in the IoT-Edge-Cloud Continuum
K. Aghababaiyan, B. Coll-Perales, J. Gozalvez
Future networks will seamlessly integrate computing and communication resources within a unified ecosystem of IoT devices, edge nodes, and cloud servers, forming an IoT-edge-cloud…
Stochastic End-to-End Latency Modeling of the IoT-Edge-Cloud Continuum: Impact of Jitter and Traffic Variability on Deterministic Service Provisioning
Keyvan Aghababaiyan, Javier Gozalvez, Baldomero Coll-Perales
6G will integrate communication and computing capabilities in a IoT-edge-cloud continuum, enabling nodes to distribute workloads across the continuum. To support time-sensitive ser…
Execution Timing Control for Deterministic Task Offloading in the IoT-Edge-Cloud Continuum
Keyvan Aghababaiyan, Baldomero Coll-Perales, Javier Gozalvez
Latency-critical IoT applications, such as autonomous mobility and industrial automation, require deterministic guarantees to ensure that tasks are completed within strict deadline…
How the Fusion of Onboard Sensors and V2X Data can Improve (or not) the Cooperative Perception of Connected Automated Vehicles
Amir Mohammadisarab, Miguel Sepulcre, Luca Lusvarghi +1
Automated vehicles rely on onboard sensors to perceive their surroundings and navigate autonomously. However, sensor performance may degrade under adverse weather conditions or whe…
Fusion or Confusion? Potential and Challenges in Fusion of Onboard Sensors and V2X Data in Cooperative Perception
Amir Mohammadisarab, Miguel Sepulcre, Luca Lusvarghi +5
Connected Automated Vehicles (CAVs) utilize their onboard sensors to perceive the environment. The perception range and accuracy can be affected by adverse weather or non-line-of-s…
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 requirem…
Importance of Intent-Sharing for V2X-based Maneuver Coordination
Rafael Molina-Masegosa, Sergei S. Avedisov, Miguel Sepulcre +3
This paper examines the critical role of intent-sharing in enabling effective maneuver coordination for connected and automated vehicles (CAVs). Successful maneuver coordinations r…
FORESEE: A Cooperative Lane Change Model for Connected and Automated Driving
Rafael Molina-Masegosa, Sergei S. Avedisov, Miguel Sepulcre +3
This paper presents FORESEE, a novel cooperative lane change model for connected and automated driving. FORESEE leverages Vehicle-to-Everything (V2X) data to anticipate traffic con…
Multi-Target Maneuver Coordinations: Unlocking Coordination Opportunities in Connected Automated Driving
Rafael Molina-Masegosa, Sergei S. Avedisov, Miguel Sepulcre +3
Maneuver coordination is a key enabler of connected and automated driving, allowing vehicles to negotiate and execute maneuvers that would otherwise be difficult, inefficient or un…
When Cooperation Should End: Maneuver Coordination Cancellation for Connected Automated Driving
Rafael Molina-Masegosa, Sergei S. Avedisov, Miguel Sepulcre +2
Maneuver coordination is essential for cooperative connected automated driving, enabling vehicles to negotiate maneuvers and interactions through V2X communication. While prior wor…
Mind the Noise: Sensitivity of Transformer-based Interaction-Aware Trajectory Prediction Models to Noisy Data
Shahab Salehi, Luca Lusvarghi, Miguel Sepulcre +1
Trajectory prediction allows autonomous vehicles to anticipate the future behavior of surrounding objects (or agents) and, accordingly, maximize the safety and efficiency of their…
5G UE and Network Asset Administration Shells for the Integration of 5G and Industry 4.0 Systems
Jorge Gómez-Jerez, Jorge Cañete-Martín, M. Carmen Lucas-Estañ +1
5G is a fundamental technology for the full digitalization of smart manufacturing. The use of Asset Administration Shells (AAS) can facilitate the integration of 5G with Industry 4…
Self-Supervised Relevance Modelling in Autonomous Driving via Counterfactual Analysis
Luca Lusvarghi, Javier Gozalvez, Pablo Urbano Hidalgo
Autonomous driving relies on computationally intensive perception pipelines to continuously detect and track objects in the surrounding environment. While some objects are key to p…
Integration of 5G and Industrial Digital Models: A Case Study with AGVs
J. Cañete-Martín, J. Gómez-Jerez, M. C. Lucas-Estañ +1
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 implem…
5G Network Architecture and Configuration Choices to Support Teleoperated Driving at Scale
M. C. Lucas-Estañ, B. Coll-Perales, M. I. Khan +4
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 oper…
Predictive Configured Grant Scheduling for Deterministic Wireless Communications
Syed Morsleen Riaz, M. Carmen Lucas-Estañ, Baldomero Coll-Perales +1
Future wireless networks must enhance their capacity to sustain deterministic service levels and support emerging time-sensitive services in key verticals. The ability to guarantee…
Predictive Dynamic Scheduling for Deterministic Communications in Beyond 5G
Syed Morsleen Riaz, M. Carmen Lucas-Estañ, Baldomero Coll-Perales +1
Next generation wireless networks must sustain deterministic service levels to support emerging time-sensitive applications. The ability to guarantee bounded latencies depends on t…
Impact of ADAS and V2X Penetration Rates on Cooperative Active Safety
M. C. Lucas-Estañ, B. Coll-Perales, M. I. Khan +2
A major driver of connected and automated driving is cooperative active safety. The effectiveness of cooperative safety applications depends on the ability of vehicles to detect tr…
Predictive and Spatially Aware Scheduling in Flexible Duplexing for Deterministic Communications
Syed Morsleen Riaz, Baldomero Coll-Perales, M. Carmen Lucas-Estañ +2
Next generation wireless networks must sustain deterministic service levels for time-sensitive closed-loop applications. Flexible duplexing (FD) is an efficient solution to support…
Semantic and Task-Oriented V2X Communications: Pushing the Limits of V2X Networks Scalability
Luca Lusvarghi, Javier Gozalvez, Mohammad Irfan Khan +3
Scalable Vehicle-to-Everything (V2X) networks are key to support the large-scale deployment of connected and automated mobility. However, the scalability of V2X networks is current…
Deterministic Task Offloading and Resource Allocation in the IoT-Edge-Cloud Continuum
Keyvan Aghababaiyan, Baldomero Coll-Perales, Javier Gozalvez
Future cellular networks will sustainably integrate computing, intelligence and services within a network of networks ecosystem that includes IoT devices and subnetworks for local…
Deterministic Task Scheduling in In-Vehicle Networks for Software-Defined Vehicles
Keyvan Aghababaiyan, Baldomero Coll-Perales, Luca Lusvarghi +1
Modern vehicles are embedding increasing levels of automation, connectivity, and intelligence, which require advanced in-vehicle networks and computational platforms to support the…
Scalable Deterministic Task Offloading and Resource Allocation in the IoT-Edge-Cloud Continuum
Keyvan Aghababaiyan, Baldomero Coll-Perales, Javier Gozalvez
Future 6 G networks are envisioned as a network of networks (NoN) ecosystem, integrating communication and computing resources across multiple domains. At the deep edge, IoT and en…
Demand- and Priority-Aware Adaptive Congestion Control for Heterogeneous V2X Service Requirements
Miguel Sepulcre, Javier Tortosa-Garcia, Javier Gozalvez
Vehicle-to-Everything (V2X) communications enable the exchange of information among vehicles to improve road safety and traffic efficiency. As V2X deployments progress, vehicles ar…