Resource Allocation and Basestation Placement in Cellular Networks With Wireless Powered UAVs

In this correspondence, we focus on a UAV-assisted downlink cellular network, where a UAV serves as an aerial basestation (BS) and is powered by a wireless charging station located on the ground, and jointly optimize resource allocation and BS placement to maximize the common throughput for two resource sharing schemes: time division multiple access (TDMA) and frequency division multiple access (FDMA). Through alternate optimization, resource allocation and BS placement are separately optimized to iteratively improve the common throughput. For resource allocation, we derive the closed-form solutions for both TDMA and FDMA. For BS placement, we resort to successive convex optimization that iteratively maximizes a lower bound. Results show that with the proposed optimal resource allocation and BS placement, resource can be fully utilized and the aerial BS's location can be properly adjusted such that it significantly outperforms a baseline strategy, by which resource is equally shared among ground users. Moreover, it is also observed that the FDMA scheme outperforms the TDMA scheme due to longer effective transmission duration.