This paper proposes a simplified Temporal Convolutional Network-based estimator to improve channel estimation in vehicular communication.

This paper proposes a Row-Movable Active Reconfigurable Intelligent Surface (RM-A-RIS) system for vehicular semantic communication, enhancing spatial diversity and improving Sum-Semantic Spectral Effi…

This paper proposes a UAV-assisted vehicular communication framework using multi-antenna beamforming and dynamic bandwidth allocation for reliable communication in dynamic environments.

This paper proposes a semantic-aware multiple access scheme for efficient transmission of high-volume visual data among nearby vehicles in uplink-dominant 6G systems, reducing redundant transmissions…

This paper proposes a novel rate-splitting multiple access (RSMA) system for 6G vehicular networks with coexisting OFDM and OTFS users, providing downlink communication and managing inter-carrier inte…

This paper proposes a hybrid certificate solution combining Elliptic-Curve Cryptography and Post-Quantum Cryptography for secure vehicular communications.

This paper investigates the effectiveness of intent-sharing in enabling maneuver coordination for connected and automated vehicles, demonstrating substantial improvements in two scenarios.

This paper investigates the feasibility of using 5G networks for teleoperated driving (ToD) and identifies the impact of bandwidth and TDD frame structure on ToD performance.

This paper characterizes the impact of ETSI Decentralized Congestion Control (DCC) on age of information (AoI) for vehicle-to-infrastructure updates, revealing a hyperbolic density dependence and prop…

This paper proposes a value-based DCC method for Intelligent Transport Systems to maintain channel load while retaining more high-value objects.

This paper proposes a decentralized Multi-Agent Reinforcement Learning framework with a Graph Neural Network for connected and autonomous vehicles to reduce traffic shockwaves.

This paper provides a comprehensive review of network optimization aspects for Connected and Autonomous Vehicles (CAVs), aiming to clarify misconceptions and outline future research directions.

The SAFE approach enhances fault-tolerant trust management in VANETs by ensuring vehicles send updated feedback reports before leaving a witness area, significantly reducing erroneous penalization of…

This paper compares the efficiency of different routing algorithms for collectively routed fleets of autonomous vehicles and proposes a market design to encourage social welfare oriented cooperation.

This paper proposes a protocol-agnostic method for embedding parallel information into existing wireless communication signals using small, controlled frequency offsets, enabling simultaneous secondar…

This paper analyzes the impact of measurement errors and packet losses in V2X data on the effectiveness of cooperative perception in automated vehicles and identifies challenges related to the generat…

This paper presents a comprehensive survey on reconfigurable antennas for next-generation mobile networks, focusing on their potential and applications.

This paper reviews the current state of cybersecurity for EV charging infrastructure, analyzing existing machine learning countermeasures and proposing future directions to overcome data limitations i…

The paper addresses the lack of independent measurement tools for modern mobile communication by designing and implementing open-source platforms to study cellular radio networks, operator services, a…