ECEA Based Joint Circular Design of Reconfigurable Intelligent Surfaces with Drone During Disaster

Strong communication networks that can function even in the face of tragedy will be the foundation of contemporary societies. Drone-mounted base stations (DBSs) can assist mobile users quickly by reestablishing connectivity in a disaster-stricken environment. In past decade, numerous drone-based base station studies have been proposed to ensure connectivity, however they are not cost-effective. To improve this, we try to use fewest DBSs possible while increasing coverage area. Since each DBS can only service a certain number of terrestrial users due to coverage limitations, we offer an argument using Multiple Reconfigurable Intelligent Surfaces (RIS) with drones. We employ RIS because, with relatively low deployment costs, it provides coverage expansion, interference reduction, and energy savings. In this study, we propose a circular RIS-assisted single DBS for communications during disaster. In contrast to the conventional DBS model, power loss has not decreased but rather has remained constant in the expanded coverage area. We also derived an optimized distance (DBS to User distance) to achieve the maximum serving area and coverage enhancement has been compared with existing method. An Enhanced Coverage Enrichment Algorithm (ECEA) has been proposed to analyze model. Our research validates the results of our simulation with theoretical discoveries.