Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks

Abstract

The usage of Reconfigurable Intelligent Surfaces (RIS) in conjunction with Unmanned Ariel Vehicles (UAVs) is being investigated as a way to provide energy-efficient communication to ground users in dense urban areas. In this paper, we devise an optimization scenario to reduce overall energy consumption in the network while guaranteeing certain Quality of Service (QoS) to the ground users in the area. Due to the complex nature of the optimization problem, we provide a joint UAV trajectory and RIS phase decision to minimize transmission power of the UAV and Base Station (BS) that yields good performance with lower complexity. So, the proposed method uses a Successive Convex Approximation (SCA) to iteratively determine a joint optimal solution for UAV Trajectory, RIS phase and BS and UAV Transmission Power. The simulation results show the algorithm provides a minimum guaranteed rate while minimising transmission power of UAV and BS.

Very large scale integration architectures of discrete transforms for digital signal processing applications

“…In addition, the authors in [202] investigated using RIS in UAVs to provide energy-efficient communication to ground users in densely populated urban areas. The objective is to reduce the network's overall energy consumption while maintaining a specific QoS for the users.…”

“…Simulation results demonstrate that the proposed algorithm can provide a guaranteed minimum rate while minimizing the transmission power of the UAV and BS. The proposed optimization framework in [202] can be extended to XL-MIMO systems when immense antenna arrays and their potential to improve communication efficiency are taken into account [203]. By incorporating XL-MIMO features into the optimization problem, the energy consumption of UAVs and BSs can be reduced further.…”