Research on Unmanned Aerial Base Station Scheduling for Multimedia Transmission in Vehicular Network

This study develops a centralized cloud radio access network (C-RAN) architecture for vehicular communications, investigating joint resource allocation in a heterogeneous vehicular network consisting of UAV-mounted base stations (UAV-BSs), ground Active Antenna Units (AAUs), and Roadside Units (RSUs), where caches, wireless channel bands, bitrates and transmission time slots are jointly optimized to support multimedia transmission in highway environments. The proposed framework addresses challenges such as network load levels, traffic jams, video playback latency, and dynamic UAV-BS deployment through joint optimization of caches, wireless channel bands, bitrates and transmission time slots (resource). To enhance user quality of experience, we analyze cooperative transmission scheduling and the mobility characteristics of UAV-BSs, and identify key factors affecting multimedia playback performance. Based on these insights, a cluster-based scheduling algorithm is proposed for resource allocation, together with a dynamic UAV-BS deployment strategy that enables timely and location-aware service adaptation. Simulation results under network load levels scenarios characterized by high vehicle density demonstrate that the proposed approach maintains stable performance and improves system throughput according to the vehicular mobility and video playback progress. Furthermore, experimental results demonstrate that the proposed algorithms significantly reduce progressive video playback lag compared with existing methods. These findings provide practical guidelines for transmission scheduling and UAV-BS deployment in intelligent transportation systems, contributing to sustained multimedia service quality even under congested network conditions.