Drone-Assisted-Cooperation for Multi-cluster Disaster Scenario in Next Generation Wireless Communication

In this paper, Drone-Assisted-Cooperation (DAC) for multi-cluster disaster scenarios have been considered, where the drone serves as an aerial relay among the ground users (GUs) belonging to each cluster. In particular, the probability-based statistical channel model is considered for assigning air-to-ground (A2G) links and Rayleigh channel distribution among GUs for multi-cluster DAC systems. In this proposal, we assume the probability-based statistical channel model among A2G links to be statistically independent of each other and dependent on the drone height and other surrounding environmental parameters. The system performance for the proposed scenario is evaluated using amplify-and-forward (AF) relaying at the drone and considering maximal ratio combining as a signal-combining approach at the destination.Two algorithms have also been developed in this study, one for modelling the A2G links and another for calculating the performance metrics of the proposal. The analytical framework has been developed for the proposed work and performance has been compared with the existing Rayleigh and Rician channel model. Furthermore, for a given drone height, the AF-noise component and variance of the AF-noise component have also been evaluated. However, the actual performance in the case of the proposed work comes over the existing state-of-the-art (Rayleigh and Rician fading distribution environment) in practical scenarios.