학술논문

Channel Estimation Effect on Sum-Rate Analysis of RIS-Aided UAV-Based MISO Systems
Document Type
Conference
Source
2022 30th Signal Processing and Communications Applications Conference (SIU) Signal Processing and Communications Applications Conference (SIU), 2022 30th. :1-4 May, 2022
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Simulation
Channel estimation
MISO communication
Signal processing
Reconfigurable intelligent surfaces
Autonomous aerial vehicles
Trajectory
channel estimation
PARAllel FACtor (PARAFAC)
reconfigurable intelligent surface (RIS)
sum-rate analysis
unmanned aerial vehicles (UAV)
Language
Abstract
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.