## 2 Organization and Contribution of the Paper  
The topics examined in this paper are illustrated in Figure 1. A significant portion of related research focuses on UAV placement, either for hovering or determining optimal navigation paths/trajectories. The UAV's navigation should be designed to maximize communication performance and associated metrics. Consequently, in addition to UAV navigation, key research areas include communication channel modeling, RIS phase shift design, and beamforming for MIMO base stations. To achieve these objectives, optimization problems are formulated based on defined goals and subject to physical constraints. Additional constraints often relate to communication metrics such as QoS, minimum achievable rate, signal-to-noise ratio (SNR), cognitive radio capabilities, multiple-access coding, or user-specific requirements. Minimizing energy consumption, both for UAV propulsion and transmitted communication power, is a recurring objective to enhance energy efficiency, sustainability, and cost-effectiveness. Since UAVs have limited onboard energy storage due to battery constraints, reducing propulsion energy consumption is crucial for extending UAV endurance during communication missions. This paper categorizes the research into five major sections, which are briefly explained following Remark 1. **Remark 1**. : _The central focus of this paper is on \"RIS-assisted UAV navigation in future wireless networks for supporting IoT and IoV communication in dense urban areas of smart cities.\" This is an emerging research area, particularly relevant in the context of autonomous intelligent vehicles that require sensor fusion, incorporating visual data, V2X communication, and mmWave localization for safe and secure autonomous driving. This paper is structured from this viewpoint and adopts a tutorial approach, summarizing key concepts and methodologies found in the literature. Notably, related works often address multiple aspects of this taxonomy, as we summarize in a Table, which maps the contributions of various research papers to the following five main areas._  
Figure 1: Organization of the paper based on the taxonomy of the UAV-enabled, RIS-assisted communication into quintuple studied and topics. Section 3 delves into _communication and channel modeling_, examining key aspects such as channel modeling, network performance, and modern multiple-access communication technologies. UAV deployment and navigation are considered as strategies for augmenting existing terrestrial cellular networks or delivering on-demand or remote coverage. In these scenarios, the channel model, path loss, and phase shift significantly influence the performance of RIS-assisted, UAV-enabled communication and must be integrated into the optimization framework. Unlike conventional ground-to-ground (G2G) channels, air-to-ground (A2G) channel modeling presents unique challenges and characteristics [29]. Therefore, this Section reviews channel modeling specific to UAV-enabled, RIS-assisted communication, highlighting its distinct aspects. Additionally, network performance indices, such as QoS, throughput, coverage, and weighted sum rate (WSR), are mathematically formulated and incorporated into the optimization problem. Recent advancements in multiple-access communication technologies for cognitive networks are also explored, showcasing their ability to enhance spectrum and energy efficiency, thereby improving overall network performance and connectivity. Moreover, relevant works consider the coding and decoding order of these multiple-access techniques as part of the optimization problem. 2. Section 4 explores _UAV navigation and control_, a topic of significant importance from two critical perspectives. Firstly, energy efficiency is a major concern; UAV navigation, including localization, path planning, path tracking, and trajectory design for generating motion primitives, affects the UAV's energy input and consequently its propulsion energy consumption.