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

Deshpande, Anay Ajit and Vaca-Rubio, Cristian J and Mohebi, Salman and Salami, Dariush and de Carvalho, Elisabeth and Popovski, Petar and Sigg, Stephan and Zorzi, Michele and Zanella, Andrea

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 approach has, therefore, been analytically evaluated under different sets of criterion.

Bibtex

@inproceedings{deshpande2022energy,
  title = {Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks},
  author = {Deshpande, Anay Ajit and Vaca-Rubio, Cristian J and Mohebi, Salman and Salami, Dariush and de Carvalho, Elisabeth and Popovski, Petar and Sigg, Stephan and Zorzi, Michele and Zanella, Andrea},
  booktitle = {2022 20th Mediterranean Communication and Computer Networking Conference (MedComNet)},
  pages = {158--165},
  year = {2022},
  link = {https://arxiv.org/abs/2109.11933?context=eess},
  organization = {IEEE}
}