We investigate sensing-assisted beamforming for vehicle-to-infrastructure (V2I) communication by exploiting integrated sensing and communications (ISAC) functionalities at the roadside unit (RSU). The RSU deploys a massive multi-input-multi-output (mMIMO) array mmWave. pencil-sharp mMIMO beams fine range-resolution implicate that point-target assumption is impractical, as vehicle’s geometry bec...

Vehicular adhoc network (VANET) adopts or resembles a similar structure of Mobile adhoc network (MANET). The communication in VANET are generally classified into following three categories such as Vehicle to Infrastructure (V2I), Vehicle to Vehicle (V2V) and Hybrid network which is a combination of V2V and V2I network. VANET using the IEEE 802.11p standard has great potential of achieving objec...

This paper investigates the integrated sensing and communication (ISAC) in vehicle-to-infrastructure (V2I) networks. To realize ISAC, an effective beamforming design is essential which however, highly depends on availability of accurate channel tracking requiring large training overhead computational complexity. Motivated by this, we adopt a deep learning (DL) approach to implicitly learn featu...

Connected Autonomous Vehicle (CAV) is considered as a proposal toward sustainable mobility. In order to succeed in mobility solution, “CAV” or more precisely “CAV Transport System” should prove be low energy, safe, and allow better performances than human-driven vehicles. This paper will propose system architecture for CAV System on standard scenario: crossing roundabout. Nowadays, roundabouts ...

In intelligent transportation systems, an important task is to provide a highly efficient communication channel between vehicles and other infrastructure objects that meets energy efficiency requirements involves low time delays. The paper presents method for generating synthetic data of the “vehicle-to-infrastructure” system, capable simulating many scenarios traffic situations increase genera...

In recent years, improving intersection traffic safety has become a major focus for researchers. However, it remains significant concern due to the increasing number of vehicles and introduction autonomous cooperative driving systems. Advancements in artificial intelligence (AI) vehicle-to-everything (V2X) technologies offer promising solutions reduce collisions between vehicles. As V2X are slo...