In the modern era, the impact of Flying Ad-hoc Networks (FANETs) has demonstrated their significance across various domains, such as the military, healthcare, entertainment, etc. In these types of networks, realistic mobility modeling is essential for simulating Unmanned Aerial Vehicles (UAVs) in accurate behaviors and interactions within the network. To achieve this realism and improve network performance metrics of the network as well, Mobility Models (MMs) can be integrated, facilitating UAVs to present complex movement patterns that simulate real-world trajectories. This paper proposes a combination of Circular Mobility (CM) and Random Walk (RW) models (CCRW) in a superposition model to establish the final pattern of the proposed model and how it affects the Quality of Services (QoS). So, to achieve this purpose, OMNeT++ was used as a simulation tool. The QoS metrics used for analyzing the (CCRW) are End-to-End delay (E2E), Packet Delivery Ratio (PDR), throughput, and packet loss rate. The results of the simulation were presented and compared with respect to three scenarios. The first two scenarios implied the models separately, whereas the last scenario implied the proposed model (CCRW); each scenario was tested and evaluated with Ad-hoc On Demand Distance Vector (AODV), Greedy Perimeter Stateless Routing (GPSR), and Destination Sequenced Distance Vector (DSDV) routing protocols. The results demonstrate that the proposed model (CCRW) outperforms the CM and RW models in most QoS metrics. Accordingly, the simulation results exhibit the best PDR with Scenario 3 (CCRW) in AODV of 98.36%, throughput of 725,238, and packet loss of 1.63%, while Scenario 2 exhibits the best results in DSDV with E2E delay of 0.00914 s. This indicates that the CCRW model could enhance the most QoS metrics and movement realism, making it useful in FANET applications.