The field of wireless communication systems is witnessing significant advancements with the integration of unmanned aerial vehicles (UAVs) and reconfigurable intelligent surfaces (RISs). Researchers are exploring innovative approaches to optimize the performance of UAV-assisted networks, including the development of accurate channel models and the optimization of trajectory and dynamic time splitting. Additionally, RISs are being investigated for their potential to enhance connectivity and secrecy in wireless communication systems. Notably, the use of RISs in full-duplex integrated sensing and communication networks is showing promise in addressing the challenges of sensing and communication secrecy. Furthermore, the application of metaheuristic optimization techniques, such as genetic algorithm and particle swarm optimization, is becoming increasingly popular in optimizing the performance of UAV communication systems.

Notable papers in this area include: The paper on Performance Analysis and Experimental Validation of UAV Corridor-Assisted Networks, which presents an analytical framework for modeling the spatial locations of UAV-Base Stations and experimentally verifies a generic spatial model. The paper on Evaluation of Switching Technologies for Reflective and Transmissive RISs at Sub-THz Frequencies, which demonstrates the potential of advanced components in RIS designs. The paper on Mutual Information Minimization for Side-Channel Attack Resistance via Optimal Noise Injection, which proposes an optimal artificial noise injection method to minimize the mutual information in systems with Gaussian inputs. The paper on Statistical Channel Based Low-Complexity Rotation and Position Optimization for 6D Movable Antennas Enabled Wireless Communication, which investigates the practical low-complexity design of 6DMA-enabled communication systems. The paper on On the Secrecy-Sensing Optimization of RIS-assisted Full-Duplex Integrated Sensing and Communication Network, which proposes a robust RIS-aided scheme for securing a full-duplex ISAC network. The paper on DBSCAN-based Vehicle Clustering and UAV Placement for NOMA-based Resource Management in Cellular V2X Communications, which aims to address the radio resource management in Cellular V2X networks using UAV and Non-orthogonal multiple access. The paper on Sum Rate Maximization for NOMA-Assisted Uplink Pinching-Antenna Systems, which investigates an uplink communication scenario in which multiple users communicate with an access point employing non-orthogonal multiple access. The paper on RIS Partitioning and User Clustering for Resilient Non-Orthogonal Multiple Access UAV Networks, which designs well-connected and resilient UAV networks by deploying and virtually partitioning multiple RISs.