Paper Info
Title
Performance Analysis of UAV-Enabled Over-the-Air Computation Under Imperfect Channel Estimation
Abstract
Over-the-air computation (AirComp) is a powerful technique to combine data collected from an enormous number of nodes with limited bandwidth availability. When unmanned aerial vehicles are involved in AirComp as flying fusion centers (FFCs), ultrafast data aggregation can be achieved for ubiquitous sensing and environmental surveillance applications. However, one of the main challenges in AirComp is channel estimation. Whereas most of existing studies assume perfect channel estimation, in this letter, considering the common channel estimation approach using reference signals sent by the FFC, we investigate how imperfect channel state information (CSI) impacts the mean square error (MSE) performance of AirComp. We derive a closed-form expression of MSE, in which the degradation due to the amplitude and phase errors can be identified. Both analytical and simulation results show that the MSE floors are incurred by the imperfect CSI even in the high SNR regime. We observe that the average MSE becomes about 100 times worse compared to that with perfect CSI, which exhibits the significance of accurate channel estimation.
Year
DOI
Venue
2022
10.1109/LWC.2021.3130002
IEEE Wireless Communications Letters
Keywords
DocType
Volume
Over-the-air computation,mean-squared error,imperfect channel state information,path-loss disparity
Journal
11
Issue
ISSN
Citations 
3
2162-2337
0
PageRank 
References 
Authors
0.34
14
2
Name
Order
Citations
PageRank
Haejoon Jung100.68
Seung-Woo Ko242.41