TiHAN-V2X: A Comprehensive Dataset for Dynamic C-V2X Communication in Indian Context

This paper introduces TiHAN-V2X, a comprehensive dataset capturing dynamic Cellular Vehicle-to-Everything (C-V2X) communication under real-world conditions in India. The dataset comprises four sub-datasets corresponding to Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Infrastructure-to-Vehicle (I2V), and Vehicle-to-Cloud (V2C) communication modes. Each sub-dataset includes time-synchronized spatial (e.g., location, speed, heading) and Quality-of-Service (QoS) metrics (e.g., RSSI, SNR, latency, packet error rate, throughput). We detail scenario-wise measurements-covering congested urban, moderate suburban, highway, and cloud offloading conditions-and present a novel Data-Driven Markov Chain and Markov Decision Process Framework (MDP) for CV2X Communication Optimization. TiHAN-V2X provides highresolution, real-world data that reflects the unique challenges of the Indian environment.