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

被引：2
|
作者：
Hashi, Ahmed [1 ]
Aldirmaz-Colak, Sultan [1 ]
Basaran, Mehmet [2 ]
Durak-Ata, Lutfiye [3 ]
机构：
[1] Kocaeli Univ, Elekt & Haberlesme Muhendisligi Bolumu, TR-41001 Kocaeli, Turkey
[2] Siemens San Tic AS, Kartal AR GE Merkezi, TR-34870 Istanbul, Turkey
[3] Istanbul Tech Univ, Bilisim Enstitusu, TR-34469 Istanbul, Turkey
来源：
2022 30TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU | 2022年
关键词：
channel estimation; PARAllel FACtor (PARAFAC); reconfigurable intelligent surface (RIS); sum-rate analysis; unmanned aerial vehicles (UAV);
D O I：
10.1109/SIU55565.2022.9864662
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页数：4
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