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.
| Original language | English |
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| Title of host publication | 2022 30th Signal Processing and Communications Applications Conference, SIU 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665450928 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 30th Signal Processing and Communications Applications Conference, SIU 2022 - Safranbolu, Turkey Duration: 15 May 2022 → 18 May 2022 |
Publication series
| Name | 2022 30th Signal Processing and Communications Applications Conference, SIU 2022 |
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Conference
| Conference | 30th Signal Processing and Communications Applications Conference, SIU 2022 |
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| Country/Territory | Turkey |
| City | Safranbolu |
| Period | 15/05/22 → 18/05/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Funding
This work has been supported by The Scientific and Technological Research Council of Turkey (TUBITAK) under Project 120E307.
| Funders | Funder number |
|---|---|
| Türkiye Bilimsel ve Teknolojik Araştırma Kurumu | 120E307 |
Keywords
- channel estimation
- PARAllel FACtor (PARAFAC)
- reconfigurable intelligent surface (RIS)
- sum-rate analysis
- unmanned aerial vehicles (UAV)