most citedLatency-Sensitive 5G RAN Slicing for Industry 4.0

66 citations

25 papers

cs.NI2026

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…

cs.NI2026

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…

cs.NI202666 cited

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 infrastru…

cs.NI20269 cited

Common Radio Resource Management Policy for Multimedia Traffic in Beyond 3G Heterogeneous Wireless Systems

M. Carmen Lucas-Estañ, Javier Gozalvez, Joaquin Sanchez-Soriano

Beyond 3G wireless systems will be composed of a variety of Radio Access Technologies (RATs) with different, but also complementary, performance and technical characteristics. To e…

cs.NI202624 cited

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

Ana Larrañaga, M. Carmen Lucas-Estañ, Imanol Martinez +1

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, resil…

cs.NI20269 cited

Support of Teleoperated Driving with 5G Networks

M. Carmen Lucas-Estañ, Baldomero Coll-Perales, Mohammad Irfan Khan +4

Teleoperated driving (ToD) can support autonomous driving under complex or unexpected traffic scenarios that an autonomous vehicle may not understand or be able to handle. In ToD,…