activity
20102026
most citedEnd-to-End V2X Latency Modeling and Analysis in 5G Networks

91 citations · 185 across the 16 of their papers we have counts for

collaborators

18 papers

cs.NI2026★ 10 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,…

cs.NI2026★ 13 cited

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

M. C. Lucas-Estañ, B. Coll-Perales, T. Shimizu +5

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-…

cs.NI2026

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…

cs.NI2023

Visualization of Mobility Digital Twin: Framework Design, Case Study, and Future Challenges

Yueyang Liu, Xiaolong Tu, Dawei Chen +4

A Mobility Digital Twin is an emerging implementation of digital twin technology in the transportation domain, which creates digital replicas for various physical mobility entities…

eess.SP2023

Software-Defined MIMO OFDM Joint Radar-Communication Platform with Fully Digital mmWave Architecture

Ceyhun D. Ozkaptan, Haocheng Zhu, Eylem Ekici +1

Large-scale deployment of connected vehicles with cooperative sensing and maneuvering technologies increases the demand for vehicle-to-everything communication (V2X) band in 5.9 GH…

cs.NI2022★ 53 cited

An Analytical Latency Model and Evaluation of the Capacity of 5G NR to Support V2X Services using V2N2V Communications

M. C. Lucas-Estañ, B. Coll-Perales, T. Shimizu +5

5G has been designed to support applications such as connected and automated driving. To this aim, 5G includes a highly flexible New Radio (NR) interface that can be configured to…

cs.NI2022★ 91 cited

End-to-End V2X Latency Modeling and Analysis in 5G Networks

B. Coll-Perales, M. C. Lucas-Estañ, T. Shimizu +5

5G networks provide higher flexibility and improved performance compared to previous cellular technologies. This has raised expectations on the possibility to support advanced V2X…

eess.SP2021

Optimal Precoder Design for MIMO-OFDM-based Joint Automotive Radar-Communication Networks

Ceyhun D. Ozkaptan, Eylem Ekici, Chang-Heng Wang +1

Large-scale deployment of connected vehicles with cooperative awareness technologies increases the demand for vehicle-to-everything (V2X) communication spectrum in 5.9 GHz that is…

cs.DC2020

Hybrid Vehicular and Cloud Distributed Computing: A Case for Cooperative Perception

Enes Krijestorac, Agon Memedi, Takamasa Higuchi +3

In this work, we propose the use of hybrid offloading of computing tasks simultaneously to edge servers (vertical offloading) via LTE communication and to nearby cars (horizontal o…

cs.NI2020★ 3 cited

A Definition and Framework for Vehicular Knowledge Networking

Duncan Deveaux, Takamasa Higuchi, Seyhan Uçar +2

To operate intelligent vehicular applications such as automated driving, machine learning, artificial intelligence and other mechanisms are used to abstract from information what i…

cs.AI2020★ 11 cited

Cooperative Perception with Deep Reinforcement Learning for Connected Vehicles

Shunsuke Aoki, Takamasa Higuchi, Onur Altintas

Sensor-based perception on vehicles are becoming prevalent and important to enhance the road safety. Autonomous driving systems use cameras, LiDAR, and radar to detect surrounding…

cs.NI2019

Path Loss Models for V2V mmWave Communication: Performance Evaluation and Open Challenges

Marco Giordani, Takayuki Shimizu, Andrea Zanella +3

Recently, millimeter wave (mmWave) bands have been investigated as a means to enhance automated driving and address the challenging data rate and latency demands of emerging automo…

cs.NI2019

Investigating Value of Information in Future Vehicular Communications

Marco Giordani, Andrea Zanella, Takamasa Higuchi +2

The next generations of vehicles are expected to be equipped with sophisticated sensors to support advanced automotive services. The large volume of data generated by such applicat…

eess.SP2019

A Framework to Assess Value of Information in Future Vehicular Networks

Marco Giordani, Takamasa Higuchi, Andrea Zanella +2

Vehicles are becoming increasingly intelligent and connected, incorporating more and more sensors to support safer and more efficient driving. The large volume of data generated by…

cs.NI2018

On the Feasibility of Integrating mmWave and IEEE 802.11p for V2V Communications

Marco Giordani, Andrea Zanella, Takamasa Higuchi +2

Recently, the millimeter wave (mmWave) band has been investigated as a means to support the foreseen extreme data rate demands of emerging automotive applications, which go beyond…

cs.NI2018

Performance Study of LTE and mmWave in Vehicle-to-Network Communications

Marco Giordani, Andrea Zanella, Takamasa Higuchi +2

A key enabler for the emerging autonomous and cooperative driving services is high-throughput and reliable Vehicle-to-Network (V2N) communication. In this respect, the millimeter w…

cs.DC2017★ 3 cited

When Cars Meet Distributed Computing: Data Storage as an Example

Lewis Tseng, Takamasa Higuchi, Onur Altintas

As cars are ubiquitous they could play a major role in a next generation communication and computation framework. In the last years, the development of vehicle-to-vehicle communica…

cs.NI2010★ 1 cited

Preserving HTTP Sessions in Vehicular Environments

Yibei Ling, Wai Chen, Russell Hsing +1

Wireless Internet in the in-vehicle environment is an evolving reality that reflects the gradual maturity of wireless technologies. Its complexity is reflected in the diversity of…