activity
20172023
most citedBeam Alignment for Millimetre Wave Links with Motion Prediction of Autonomous Vehicles

57 citations · 187 across the 16 of their papers we have counts for

collaborators

16 papers

cs.LG2023

FROST: Towards Energy-efficient AI-on-5G Platforms -- A GPU Power Capping Evaluation

Ioannis Mavromatis, Stefano De Feo, Pietro Carnelli +2

The Open Radio Access Network (O-RAN) is a burgeoning market with projected growth in the upcoming years. RAN has the highest CAPEX impact on the network and, most importantly, con…

cs.NI2020

DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems

Ioannis Mavromatis, Robert J. Piechocki, Mahesh Sooriyabandara +1

In a world where Artificial Intelligence revolutionizes inference, prediction and decision-making tasks, Digital Twins emerge as game-changing tools. A case in point is the develop…

physics.soc-ph2020★ 29 cited

On Urban Traffic Flow Benefits of Connected and Automated Vehicles

Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki +1

Automated Vehicles are an integral part of Intelligent Transportation Systems (ITSs) and are expected to play a crucial role in the future mobility services. This paper investigate…

cs.LG2019★ 3 cited

Location Anomalies Detection for Connected and Autonomous Vehicles

Xiaoyang Wang, Ioannis Mavromatis, Andrea Tassi +2

Future Connected and Automated Vehicles (CAV), and more generally ITS, will form a highly interconnected system. Such a paradigm is referred to as the Internet of Vehicles (herein…

cs.NI2019★ 1 cited

Operating ITS-G5 DSRC over Unlicensed Bands: A City-Scale Performance Evaluation

Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki

Future Connected and Autonomous Vehicles (CAVs) will be equipped with a large set of sensors. The large amount of generated sensor data is expected to be exchanged with other CAVs…

cs.NI2019★ 18 cited

Agile Data Offloading over Novel Fog Computing Infrastructure for CAVs

Andrea Tassi, Ioannis Mavromatis, Robert Piechocki +4

Future Connected and Automated Vehicles (CAVs) will be supervised by cloud-based systems overseeing the overall security and orchestrating traffic flows. Such systems rely on data…

cs.NI2019★ 27 cited

Efficient Millimeter-Wave Infrastructure Placement for City-Scale ITS

Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki +1

Millimeter Waves (mmWaves) will play a pivotal role in the next-generation of Intelligent Transportation Systems (ITSs). However, in deep urban environments, sensitivity to blockag…

cs.NI2019★ 7 cited

Secure Data Offloading Strategy for Connected and Autonomous Vehicles

Andrea Tassi, Ioannis Mavromatis, Robert J. Piechocki +1

Connected and Automated Vehicles (CAVs) are expected to constantly interact with a network of processing nodes installed in secure cabinets located at the side of the road -- thus,…

cs.NI2019★ 17 cited

A Dataset of Full-Stack ITS-G5 DSRC Communications over Licensed and Unlicensed Bands Using a Large-Scale Urban Testbed

Andrea Tassi, Ioannis Mavromatis, Robert J. Piechocki

A dataset of measurements of ETSI ITS-G5 Dedicated Short Range Communications (DSRC) is presented. Our dataset consists of network interactions happening between two On-Board Units…

cs.NI2018★ 1 cited

Poster: Parallel Implementation of the OMNeT++ INET Framework for V2X Communications

Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki +1

The field of parallel network simulation frameworks is evolving at a great pace. That is also because of the growth of Intelligent Transportation Systems (ITS) and the necessity fo…

cs.NI2018

A City-Scale ITS-G5 Network for Next-Generation Intelligent Transportation Systems: Design Insights and Challenges

Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki +1

As we move towards autonomous vehicles, a reliable Vehicle-to-Everything (V2X) communication framework becomes of paramount importance. In this paper we present the development and…

cs.NI2018★ 5 cited

Efficient V2V Communication Scheme for 5G MmWave Hyper-Connected CAVs

Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki +1

Connected and Autonomous Vehicles (CAVs) require continuous access to sensory data to perform complex high-speed maneuvers and advanced trajectory planning. High priority CAVs are…

cs.NI2018

Multi-Radio 5G Architecture for Connected and Autonomous Vehicles: Application and Design Insights

Ioannis Mavromatis, Andrea Tassi, Giovanni Rigazzi +2

Connected and Autonomous Vehicles (CAVs) will play a crucial role in next-generation Cooperative Intelligent Transportation Systems (C-ITSs). Not only is the information exchange f…

cs.PF2017★ 18 cited

Agile Calibration Process of Full-Stack Simulation Frameworks for V2X Communications

Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki +1

Computer simulations and real-world car trials are essential to investigate the performance of Vehicle-to-Everything (V2X) networks. However, simulations are imperfect models of th…

cs.NI2017★ 4 cited

MmWave System for Future ITS: A MAC-layer Approach for V2X Beam Steering

Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki +1

Millimeter Waves (mmWave) systems have the potential of enabling multi-gigabit-per-second communications in future Intelligent Transportation Systems (ITSs). Unfortunately, because…

cs.NI2017★ 57 cited

Beam Alignment for Millimetre Wave Links with Motion Prediction of Autonomous Vehicles

Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki +1

Intelligent Transportation Systems (ITSs) require ultra-low end-to-end delays and multi-gigabit-per-second data transmission. Millimetre Waves (mmWaves) communications can fulfil t…