Distributed Communication and Sensing System Co-Design for Improved UAV Network Resilience

The progress in wireless technology over the past decade led to rapid adoption of unmanned aerial vehicles (UAVs) for various applications. As interest UAVs is accelerating, increased attention paid reliability and resilience UAV-based systems with respect collision avoidance. One ways improve this aspect utilize RADAR functionality. In work, we consider a cellular network employed communication jointly operation. critical parameter that affects algorithm radar cross-section (RCS). Since task obtaining RCS complex-shaped object extremely challenging, first propose novel, accurate, fast method scattered field assessment. We further perform radio planning deployment, as well link budget estimations system co-exists it. Under model, carry out detailed Monte-Carlo simulations detection process obtain reliable statistical results answer question how actual bistatic model algorithm. then apply mathematical modeling based on stochastic geometry estimate probability without need simulate an extensive number flight-hours. Our numerical confirm robustness pattern nulls, which crucial safety-centric applications such