91 citations · 174 across the 10 of their papers we have counts for
12 papers
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-…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…