RIS-Aided Cooperative UAV Swarm for mmWave Communications in Urban Environments
Abstract
This paper investigates the integration of reconfigurable intelligent surfaces (RIS) mounted on cooperative unmanned aerial vehicle (UAV) swarms to enhance mmWave communication in dense urban environments. While mmWave bands offer large bandwidths for high data rates, their severe path loss and blockage remain major obstacles in practical deployments. UAVs provide flexible line-of-sight (LoS) connectivity, whereas RIS enables programmable reflection to strengthen non-line-of-sight (NLoS) links. By combining these technologies, we develop a proposed framework that determines UAV positions and RIS phase configurations under realistic constraints, including quantized RIS phases, UAV, and flight restrictions. Simulation results demonstrate that RIS-aided UAV swarms significantly improve system reliability compared to single-UAV or non-RIS baselines. The findings reveal that both UAV swarm size and number of RIS elements strongly influence performance: average SNR increases with more UAVs, BER decreases exponentially with RIS enlargement, and outage probability exhibits a steep once the number of UAVs and RIS elements is reached a certain limits. In particular, swarms of four to five UAVs with 16–20 RIS elements achieve outage probabilities below 0.05, ensuring near–ultra-reliable communication while balancing energy and hardware costs. These results confirm that cooperative RIS-enabled UAV swarms are a promising solution for robust mmWave coverage in urban 6G networks.
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