Throughput Maximization for Backscatter- and Cache-Assisted Wireless Powered UAV Technology

This paper investigates a wireless powered unmanned aerial vehicle (UAV) communication network with backscatter and caching technologies. Specifically, we assume self-energized UAV cache memory is deployed as flying device (BD), term the UAV-enabled BD (UB), to relay source’s signals destination. Whereas source S can act charging station or base supply power transmit information UB using dynamic time splitting (DTS) method. The utilizes its harvested energy for backscattering (i.e., passive communication) active In this context, aim maximize total throughput by jointly optimizing DTS ratio UB’s trajectory capability at UB. formulation troublesome solve since it non-convex problem. To find solutions, decompose original problem into two sub-problems, whereas first optimize given optimization ratio. By KKT conditions, closed-form expression optimal value of obtained, greatly reducing computation time. Moreover, solution second sub-problem be acquired adopting successive convex approximation (SCA) technique. Consequently, an efficient alternating algorithm proposed leveraging block coordinate descent (BCD) show advantages BCD-based algorithm, also provide applying inner (IA) Finally, intensive numerical results demonstrate that our schemes achieve significant gain in comparison benchmark schemes.