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

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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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.

Original languageEnglish
Title of host publication2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022
PublisherIEEE
Pages158-165
Number of pages8
ISBN (Electronic)9781665487290
DOIs
Publication statusPublished - 1 Jul 2022
MoE publication typeA4 Article in a conference publication
EventMediterranean Communication and Computer Networking Conference - Pafos, Cyprus
Duration: 1 Jun 20223 Jun 2022

Publication series

Name2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022

Conference

ConferenceMediterranean Communication and Computer Networking Conference
Abbreviated titleMedComNet
Country/TerritoryCyprus
CityPafos
Period01/06/202203/06/2022

Keywords

  • Energy Efficient Network
  • Reconfigurable Intelligent Surfaces
  • Unmanned Aerial Vehicles

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