A Thorough Analysis of Radio Resource Assignment for UAV-Enhanced Vehicular Sidelink Communications

• DOI: 10.48550/arxiv.2403.12059
• Publication Date: 2024-01-19
• Authors: Francesca Conserva; Francesco Linsalata; Marouan Mizmizi; Maurizio Magarini; Umberto Spagnolini; Roberto Verdone; Chiara Buratti
• Keywords: Computer Science - Networking and Internet Architecture; Networking and Internet Architecture (cs.NI); Signal Processing (eess.SP); FOS: Computer and information sciences; Beamforming; QoS; Radio Resource Assignment; Unmanned Aerial Vehicles; V2X; FOS: Electrical engineering, electronic engineering, information engineering; Electrical Engineering and Systems Science - Signal Processing

The rapid expansion of connected and autonomous vehicles (CAVs) the shift towards millimiter-wave (mmWave) frequencies offer unprecedented opportunities to enhance road safety traffic efficiency. Sidelink communication, enabling direct Vehicle-to-Vehicle (V2V) communications, play a pivotal role in this transformation. As communication technologies transit higher frequencies, associated increase bandwidth comes at cost severe path penetration loss. In response these challenges, we investigate network configuration that deploys beamforming-capable Unmanned Aerial Vehicles (UAVs) as relay nodes. work, present comprehensive analytical framework with groundbreaking performance metric, i.e. average access probability, quantifies user satisfaction, considering factors across different protocol stack layers. Additionally, introduce two Radio Resources Assignment (RRA) methods tailored for UAVs. These consider parameters such resource availability, vehicle distribution, latency requirements. Through our approach, optimize probability by controlling UAV altitude based on density. Our numerical findings validate proposed model strategy, which ensures Quality Service (QoS) standards are met domain Vehicle-to-Anything (V2X) sidelink communications.