Abstract:
A crucial enabling technology for intelligent transportation systems is vehicle-toeverything (V2X) communication, which provides dependable wireless connectivity to support applications related to traffc effciency and safety. Because of the high vehicle mobility, heavy traffc, and stringent latency and reliability requirements, accurate performance evaluation of V2X networks is critical. While existing analytical models frequently rely on simplifed assumptions like fxed communication ranges and ideal channel conditions, which limit their practical accuracy, simulation-based approaches offer detailed insights but are computationally costly. The analytical modeling of IEEE 802.11p-based V2X communication links with realistic wireless propagation and interference effects is the main focus of this thesis. The suggested framework takes into consideration changes in signal power, interference from nearby vehicles, hidden terminal effects, and packet reception failures due to channel impairments, in contrast to traditional models that assume error free communication within a predetermined range. Packet Delivery Ratio (PDR) and the likelihood of transmission failure due to propagation errors, packet collisions, receiver busy states, and sensing errors are among the important performance metrics that the model assesses. Extensive simulations with different vehicle densities, transmission ranges, and data rates are used to validate the analytical results. The accuracy of the suggested model is confrmed by the comparison, which shows strong agreement between analytical predictions and simulation results. The fndings also demonstrate how mobility and interference signifcantly affect the reliability of V2X communication, especially in situations with heavy traffc. All things considered, this work offers an analytical framework for assessing V2X communication performance that is more practical and scalable. In addition to supporting the creation and improvement of dependable V2X systems for upcoming intelligent transportation applications, the suggested model can help researchers and system designers better understand network behavior.
