Unicast communication in vehicular ad hoc networks: a reality check. - Mate Boban; Ozan K. Tonguz; João Barros (IEEE Commun. Lett., 2009)

Experimental study on the impact of vehicular obstructions in VANETs. - Rui Meireles; Mate Boban; Peter Steenkiste; Ozan K. Tonguz; João Barros (VNC, 2010)

Multiplayer games over Vehicular Ad Hoc Networks: A new application. - Ozan K. Tonguz; Mate Boban (Ad Hoc Networks, 2010)

Exploiting the height of vehicles in vehicular communication. - Mate Boban; Rui Meireles; João Barros; Ozan K. Tonguz; Peter Steenkiste (VNC, 2011)

Impact of Vehicles as Obstacles in Vehicular Ad Hoc Networks. - Mate Boban; Tiago T. V. Vinhoza; Michel Ferreira; João Barros; Ozan K. Tonguz (IEEE J. Sel. Areas Commun., 2011)

Probabilistic key distribution in vehicular networks with infrastructure support. - João Almeida 004; Saurabh Shintre; Mate Boban; João Barros (GLOBECOM, 2012)

TVR - Tall Vehicle Relaying in Vehicular Networks - Mate Boban; Rui Meireles; João Barros; Peter Steenkiste; Ozan K. Tonguz (CoRR, 2012)

Seeing is Believing - Enhancing Message Dissemination in Vehicular Networks Through Visual Cues. - Mate Boban; Tiago T. V. Vinhoza; Ozan K. Tonguz; João Barros (IEEE Commun. Lett., 2012)

Modeling vehicle-to-vehicle line of sight channels and its impact on application-layer performance. - Mate Boban; Wantanee Viriyasitavat; Ozan K. Tonguz (Vehicular Ad Hoc Networks, 2013)

Demo: Visualization of vehicular communication: Insights into power, effective range, clustering, and neighborhood size. - Mate Boban (VNC, 2014)

Measurement-based evaluation of cooperative awareness for V2V and V2I communication. - Mate Boban; Pedro M. d'Orey (VNC, 2014)

Simulating vehicular visible light communication: Physical radio and MAC modeling. - Boris Tomas; Hsin-Mu Tsai; Mate Boban (VNC, 2014)

Empirical Evaluation of Cooperative Awareness in Vehicular Communications. - Pedro M. d'Orey; Mate Boban (VTC Spring, 2014)

Realistic and Efficient Channel Modeling for Vehicular Networks. - Mate Boban (CoRR, 2014)

TVR - Tall Vehicle Relayingin Vehicular Networks. - Mate Boban; Rui Meireles; João Barros; Peter Steenkiste; Ozan K. Tonguz (IEEE Trans. Mob. Comput., 2014)

Geometry-Based Vehicle-to-Vehicle Channel Modeling for Large-Scale Simulation. - Mate Boban; João Barros; Ozan K. Tonguz (IEEE Trans. Veh. Technol., 2014)

Vehicular Communications: Survey and Challenges of Channel and Propagation Models. - Wantanee Viriyasitavat; Mate Boban; Hsin-Mu Tsai; Athanasios V. Vasilakos (IEEE Veh. Technol. Mag., 2015)

Design aspects for 5G V2X physical layer. - Mate Boban; Konstantinos Manolakis; Mohamed Ibrahim; Samer Bazzi; Wen Xu 001 (CSCN, 2016)

Comparison of radio frequency and visible light propagation channel for vehicular communications. - Lin Cheng 004; Hsin-Mu Tsai; Wantanee Viriyasitavat; Mate Boban (CarSys@MobiCom, 2016)

Geometry-Based Propagation Modeling and Simulation of Vehicle-to-Infrastructure Links. - Bengi Aygün; Mate Boban; João P. Vilela; Alexander M. Wyglinski (VTC Spring, 2016)

Modeling the Evolution of Line-of-Sight Blockage for V2V Channels. - Mate Boban; Xitao Gong; Wen Xu 001 (VTC Fall, 2016)

Workshop message: Smart Vehicles 2016. - Andreas Festag; Mate Boban; John B. Kenney; João P. Vilela (WoWMoM, 2016)

Scooter-to-X communications: Antenna placement, human body shadowing, and channel modeling. - Hao-Min Lin; Hsin-Mu Tsai; Mate Boban (Ad Hoc Networks, 2016)

ECPR: Environment-and context-aware combined power and rate distributed congestion control for vehicular communications. - Bengi Aygün; Mate Boban; Alexander M. Wyglinski (Comput. Commun., 2016)

Service-actuated multi-channel operation for vehicular communications. - Mate Boban; Andreas Festag (Comput. Commun., 2016)

Exploring the Practical Limits of Cooperative Awareness in Vehicular Communications. - Mate Boban; Pedro M. d'Orey (IEEE Trans. Veh. Technol., 2016)

Towards Spatially and Temporally Consistent Channel Modeling for Reliable V2X Communication. - Mate Boban; Xitao Gong; Konstantinos Manolakis; Wen Xu 001 (WSA, 2017)

Use Cases, Requirements, and Design Considerations for 5G V2X. - Mate Boban; Apostolos Kousaridas; Konstantinos Manolakis; Joseph Eichinger; Wen Xu 001 (CoRR, 2017)

Multi-band Characterization of Path-loss, Delay, and Angular Spread in V2V Links. - Diego A. Dupleich; Robert Müller 003; Sergii Skoblikov; Christian Schneider 003; Jian Luo 001; Mate Boban; Giovanni Del Galdo; Reiner S. Thomä (PIMRC, 2018)

Tracking based Multipath Clustering in Vehicle-to-Infrastructure Channels. - Jonas Gedschold; Christian Schneider 003; Martin Käske; Reiner S. Thomä; Giovanni Del Galdo; Mate Boban; Jian Luo 001 (PIMRC, 2018)

Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage. - Taylan Sahin; Ramin Khalili; Mate Boban; Adam Wolisz (VNC, 2018)

Radio Resource Allocation for Reliable Out-of-Coverage V2V Communications. - Taylan Sahin; Mate Boban (VTC Spring, 2018)

The Fifth IEEE Workshop on Smart Vehicles: Connectivity Technologies and its Applications (SmartVehicles'18). - Raffaele Bruno 001; Gaurav Bansal; Mate Boban; Panagiotis Pantazopoulos (WOWMOM, 2018)

Comparison of Radio Frequency and Visible Light Propagation Channels for Vehicular Communications. - Lin Cheng 004; Wantanee Viriyasitavat; Mate Boban; Hsin-Mu Tsai (IEEE Access, 2018)

Connected Roads of the Future: Use Cases, Requirements, and Design Considerations for Vehicle-to-Everything Communications. - Mate Boban; Apostolos Kousaridas; Konstantinos Manolakis; Josef Eichinger; Wen Xu 001 (IEEE Veh. Technol. Mag., 2018)

Fifth-Generation Technologies for the Connected Car: Capable Systems for Vehicle-to-Anything Communications. - Mikael Fallgren; Markus Dillinger; Jesus Alonso-Zarate; Mate Boban; Taimoor Abbas; Konstantinos Manolakis; Toktam Mahmoodi; Tommy Svensson; Andres Laya; Ricard Vilalta (IEEE Veh. Technol. Mag., 2018)

A Hybrid Sensing and Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications. - Taylan Sahin; Mate Boban; Ramin Khalili; Adam Wolisz (ACSSC, 2019)

Multi-Band Vehicle to Vehicle Channel Measurements from 6 GHz to 60 GHz at "T" Intersection. - Diego A. Dupleich; Robert Müller 003; Christian Schneider 003; Sergii Skoblikov; Jian Luo 001; Mate Boban; Giovanni Del Galdo; Reiner S. Thomä (CAVS, 2019)

VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications. - Taylan Sahin; Ramin Khalili; Mate Boban; Adam Wolisz (CAVS, 2019)

Online Learning Framework for V2V Link Quality Prediction. - Panthangi M. Ramya; Mate Boban; Chan Zhou 001; Slawomir Stanczak (GLOBECOM, 2019)

Using Learning Methods for V2V Path Loss Prediction. - Panthangi M. Ramya; Mate Boban; Chan Zhou 001; Slawomir Stanczak (WCNC, 2019)

Multi-Band Vehicle-to-Vehicle Channel Characterization in the Presence of Vehicle Blockage. - Mate Boban; Diego A. Dupleich; Naveed Iqbal 003; Jian Luo 001; Christian Schneider 003; Robert Müller 003; Ziming Yu; David Steer; Tommi Jämsä; Jian Li 058; Reiner S. Thomä (IEEE Access, 2019)

On the Needs and Requirements Arising from Connected and Automated Driving. - Konstantinos Antonakoglou; Nadia Brahmi; Taimoor Abbas; Antonio Eduardo Fernandez Barciela; Mate Boban; Kai Cordes; Mikael Fallgren; Laurent Gallo; Apostolos Kousaridas; Zexian Li; Toktam Mahmoodi; Erik G. Ström; et al. (J. Sens. Actuator Networks, 2020)

Propagation Channels of 5G Millimeter-Wave Vehicle-to-Vehicle Communications: Recent Advances and Future Challenges. - Ruisi He; Christian Schneider 003; Bo Ai 001; Gongpu Wang; Zhangdui Zhong; Diego A. Dupleich; Reiner S. Thomä; Mate Boban; Jian Luo 001; Yunyong Zhang (IEEE Veh. Technol. Mag., 2020)

Terahertz Communications Enhanced by IRS. - Hanwen Cao; Mate Boban; Josef Eichinger (PIMRC, 2021)

Proactive Application Rate Requirement Adaptation Mechanism for Sidelinks. - Ramya Panthangi Manjunath; Martin Schubert; Renato L. G. Cavalcante; Mate Boban; Chan Zhou 001; Slawomir Stanczak (PIMRC, 2021)

iVRLS: In-coverage Vehicular Reinforcement Learning Scheduler. - Taylan Sahin; Mate Boban; Ramin Khalili; Adam Wolisz (VTC Spring, 2021)

A Tutorial on 5G NR V2X Communications. - Mario Hernán Castañeda García; Alejandro Molina-Galan; Mate Boban; Javier Gozálvez; Baldomero Coll-Perales; Taylan Sahin; Apostolos Kousaridas (IEEE Commun. Surv. Tutorials, 2021)

Predictive Quality of Service (PQoS): The Next Frontier for Fully Autonomous Systems. - Mate Boban; Marco Giordani; Michele Zorzi (CoRR, 2021)

Predictive Quality of Service: The Next Frontier for Fully Autonomous Systems. - Mate Boban; Marco Giordani; Michele Zorzi (IEEE Netw., 2021)

Mechanisms for the Estimation of Prediction Intervals in Vehicular Communication Scenarios. - Ramya Panthangi Manjunath; Mate Boban; Renato L. G. Cavalcante; Chan Zhou 001; Slawomir Stanczak (ICC, 2022)

EVM Analysis for THz Links under Antenna Misalignment and I/Q Imbalance. - Lutfi Samara; Mate Boban; Thomas Kürner (PIMRC, 2022)

Measurement-based Evaluation of Uplink Throughput Prediction. - Mate Boban; Chunxu Jiao; Mohamed Gharba (VTC Spring, 2022)

A Reinforcement Learning Framework for PQoS in a Teleoperated Driving Scenario. - Federico Mason; Matteo Drago; Tommaso Zugno; Marco Giordani; Mate Boban; Michele Zorzi (WCNC, 2022)

Artificial Intelligence in Vehicular Wireless Networks: A Case Study Using ns-3. - Matteo Drago; Tommaso Zugno; Federico Mason; Marco Giordani; Mate Boban; Michele Zorzi (WNS3, 2022)

Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning. - Taylan Sahin; Ramin Khalili; Mate Boban; Adam Wolisz (IEEE Trans. Veh. Technol., 2022)

Huawei_MRC_V2I_measurement_data. - Mate Boban; Chunxu Jiao; Mohamed Gharba (IEEE DataPort, 2022)

Terahertz Communications for Industrial Manufacturing: a Use Case Analysis. - Tommaso Zugno; Lutfi Samara; Mate Boban; Per Hjalmar Lehne; Thomas Kürner (CSCN, 2023)

Characterization of Propagation in an Industrial Scenario from Sub-6 GHz to 300 GHz. - Diego A. Dupleich; Alexander Ebert; Yanneck Völker-Schöneberg; Damir Sitdikov; Mate Boban; Lutfi Samara; Giovanni Del Galdo; Reiner S. Thomä (GLOBECOM (Workshops), 2023)

Channel Measurements at 140 and 220 GHz in an Outdoor Street Canyon Environment. - Wenfei Yang; Ziming Yu; Yi Chen 013; Mate Boban; Tommaso Zugno; Jian Li 058 (GLOBECOM, 2023)

Parameter-less Asynchronous Federated Learning under Computation and Communication Constraints. - Mengfan Wu; Mate Boban; Falko Dressler (VTC2023-Spring, 2023)

Vehicle-to-Everything (V2X) Datasets for Machine Learning-Based Predictive Quality of Service. - Marco Skocaj; Nicola Di Cicco; Tommaso Zugno; Mate Boban; Jiri Blumenstein; Ales Prokes; Tomas Mikulasek; Josef Vychodil; Konstantin Mikhaylov; Massimo Tornatore; Vittorio Degli-Esposti (IEEE Commun. Mag., 2023)

White Paper on Radio Channel Modeling and Prediction to Support Future Environment-aware Wireless Communication Systems. - Mate Boban; Vittorio Degli-Esposti (CoRR, 2023)

Adapt and Aggregate: Adaptive OFDM Numerology and Carrier Aggregation for High Data Rate Terahertz Communications. - Lutfi Samara; Tommaso Zugno; Mate Boban; Malte Schellmann; Thomas Kürner (IEEE J. Sel. Top. Signal Process., 2023)

Line of Sight Blockage Prediction via Spatio-Temporal Graph Neural Networks. - Marco Skocaj; Tommaso Zugno; Jiri Blumenstein; Mate Boban (GLOBECOM (Workshops), 2024)

Flexible Training and Uploading Strategy for Asynchronous Federated Learning in Dynamic Environments. - Mengfan Wu; Mate Boban; Falko Dressler (IEEE Trans. Mob. Comput., 2024)

Enhancing Convolutional Models for Indoor Radio Mapping via Ray Marching. - Mengfan Wu; Marco Skocaj; Mate Boban (ICASSP, 2025)

Use Cases for Terahertz Communications: An Industrial Perspective. - Tommaso Zugno; Cristina Ciochina; Sharad Sambhwani; Patrick Svedman; Luís M. Pessoa; Ben Chen; Per Hjalmar Lehne; Mate Boban; Thomas Kürner (IEEE Wirel. Commun., 2025)

PRATA: A Framework to Enable Predictive QoS in Vehicular Networks via Artificial Intelligence. - Federico Mason; Tommaso Zugno; Matteo Drago; Marco Giordani; Mate Boban; Michele Zorzi (CoRR, 2025)

COST CA20120 INTERACT Framework of Artificial Intelligence-Based Channel Modeling. - Ruisi He; Nicola Di Cicco; Bo Ai 001; Mi Yang; Yang Miao; Mate Boban (IEEE Wirel. Commun., 2025)