A Thorough Analysis of Radio Resource Assignment for UAV-Enhanced Vehicular Sidelink Communications
CoRR(2024)
摘要
The rapid expansion of connected and autonomous vehicles (CAVs) and the shift
towards millimiter-wave (mmWave) frequencies offer unprecedented opportunities
to enhance road safety and traffic efficiency. Sidelink communication, enabling
direct Vehicle-to-Vehicle (V2V) communications, play a pivotal role in this
transformation. As communication technologies transit to higher frequencies,
the associated increase in bandwidth comes at the cost of a severe path and
penetration loss. In response to these challenges, we investigate a network
configuration that deploys beamforming-capable Unmanned Aerial Vehicles (UAVs)
as relay nodes. In this work, we present a comprehensive analytical framework
with a groundbreaking performance metric, i.e. average access probability, that
quantifies user satisfaction, considering factors across different protocol
stack layers. Additionally, we introduce two Radio Resources Assignment (RRA)
methods tailored for UAVs. These methods consider parameters such as resource
availability, vehicle distribution, and latency requirements. Through our
analytical approach, we optimize the average access probability by controlling
UAV altitude based on traffic density. Our numerical findings validate the
proposed model and strategy, which ensures that Quality of Service (QoS)
standards are met in the domain of Vehicle-to-Anything (V2X) sidelink
communications.
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