Channel Estimation Effect on Sum-Rate Analysis of RIS-Aided UAV-Based MISO Systems

Hashi A., Aldirmaz-Colak S., Basaran M., Durak Ata L.

30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Turkey, 15 - 18 May 2022 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu55565.2022.9864662
  • City: Safranbolu
  • Country: Turkey
  • Keywords: channel estimation, PARAllel FACtor (PARAFAC), reconfigurable intelligent surface (RIS), sum-rate analysis, unmanned aerial vehicles (UAV)
  • Istanbul Technical University Affiliated: Yes


© 2022 IEEE.In this paper, we investigate channel estimation performance on sum-rate for reconfigurable intelligent surface (RIS) assisted unmanned aerial vehicles (UAV)-based multiple-input single-output (MISO) systems with multi-users. We assume that a drone with a predetermined trajectory acts as a base station. The channel estimation is performed by PARAllel FACtor (PARAFAC) decomposition method. Sum-rate simulations are performed for the cases where the channel is perfectly known and unknown. From the simulation results, it has been observed that the number of pilot signals used for channel estimation is quite effective on the total transmission speed as it improves the channel estimation.