Uplink Outage Probability Analysis of AAV and Intelligent Connected Vehicle Cooperative Communication Using Full-Duplex MIMO

The rapid advancement of intelligent transportation systems necessitates reliable vehicular communication, yet traditional infrastructure struggles with coverage limitations in dynamic environments. To address the above issue, this letter investigates the uplink outage probability in cooperative communication between the autonomous aerial vehicle (AAV) and intelligent connected vehicles (ICVs) using the full-duplex multiple-input multiple-output (MIMO) technique. First, for non-static MIMO scenarios, we develop a joint effect model by jointly considering the self-interference, co-channel interference and noise, aiming to maximize channel gain. Next, we derive a closed-form expression for the uplink outage probability by employing the Laplace transform of the interference. To reduce complexity, an approximate expression for the uplink outage probability is proposed according to a dynamic truncation criterion. Based on this, we derive a theoretical upper bound for the approximation error. Finally, the simulation results demonstrate that the proposed scheme significantly reduces the outage probability compared to state-of-the-art schemes, with the approximate solution showing less than 6% error and requiring only 7% of the computational time of the closed-form solution. Additionally, the impact of transmission power, antenna configurations, and retained higher-order terms on the outage probability is thoroughly analyzed.