A Survey on Optimal Channel Estimation Methods for RIS-Aided Communication Systems
Next-generation wireless communications aim to utilize mmWave/subTHz bands. In this regime, signal propagation is vulnerable to interferences and path losses. To overcome this issue, a novel technology has been introduced, which is called reconfigurable intelligent surface (RIS). RISs control digita...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Signals |
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| Online Access: | https://www.mdpi.com/2624-6120/4/1/12 |
| _version_ | 1827747542363799552 |
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| author | Stamatia F. Drampalou Nikolaos I. Miridakis Helen C. Leligou Panagiotis A. Karkazis |
| author_facet | Stamatia F. Drampalou Nikolaos I. Miridakis Helen C. Leligou Panagiotis A. Karkazis |
| author_sort | Stamatia F. Drampalou |
| collection | DOAJ |
| description | Next-generation wireless communications aim to utilize mmWave/subTHz bands. In this regime, signal propagation is vulnerable to interferences and path losses. To overcome this issue, a novel technology has been introduced, which is called reconfigurable intelligent surface (RIS). RISs control digitally the reflecting signals using many passive reflector arrays and implement a smart and modifiable radio environment for wireless communications. Nonetheless, channel estimation is the main problem of RIS-assisted systems because of their direct dependence on the system architecture design, the transmission channel configuration and methods used to compute channel state information (CSI) on a base station (BS) and RIS. In this paper, a concise survey on the up-to-date RIS-assisted wireless communications is provided and includes the massive multiple input-multiple output (mMIMO), multiple input-single output (MISO) and cell-free systems with an emphasis on effective algorithms computing CSI. In addition, we will present the effectiveness of the algorithms computing CSI for different communication systems and their techniques, and we will represent the most important ones. |
| first_indexed | 2024-03-11T05:55:12Z |
| format | Article |
| id | doaj.art-47f47fce256441aeaf86dc6fd6204e42 |
| institution | Directory Open Access Journal |
| issn | 2624-6120 |
| language | English |
| last_indexed | 2024-03-11T05:55:12Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Signals |
| spelling | doaj.art-47f47fce256441aeaf86dc6fd6204e422023-11-17T13:51:04ZengMDPI AGSignals2624-61202023-03-014120823410.3390/signals4010012A Survey on Optimal Channel Estimation Methods for RIS-Aided Communication SystemsStamatia F. Drampalou0Nikolaos I. Miridakis1Helen C. Leligou2Panagiotis A. Karkazis3Department of Informatics and Computer Engineering, University of West Attica, 250 Thivon Av., 12244 Athens, GreeceDepartment of Informatics and Computer Engineering, University of West Attica, 250 Thivon Av., 12244 Athens, GreeceDepartment of Industrial Design and Production Engineering, University of West Attica, 250 Thivon Av., 12244 Athens, GreeceDepartment of Informatics and Computer Engineering, University of West Attica, 250 Thivon Av., 12244 Athens, GreeceNext-generation wireless communications aim to utilize mmWave/subTHz bands. In this regime, signal propagation is vulnerable to interferences and path losses. To overcome this issue, a novel technology has been introduced, which is called reconfigurable intelligent surface (RIS). RISs control digitally the reflecting signals using many passive reflector arrays and implement a smart and modifiable radio environment for wireless communications. Nonetheless, channel estimation is the main problem of RIS-assisted systems because of their direct dependence on the system architecture design, the transmission channel configuration and methods used to compute channel state information (CSI) on a base station (BS) and RIS. In this paper, a concise survey on the up-to-date RIS-assisted wireless communications is provided and includes the massive multiple input-multiple output (mMIMO), multiple input-single output (MISO) and cell-free systems with an emphasis on effective algorithms computing CSI. In addition, we will present the effectiveness of the algorithms computing CSI for different communication systems and their techniques, and we will represent the most important ones.https://www.mdpi.com/2624-6120/4/1/12channel estimationchannel state information (CSI)optimized algorithmmulti input-multi output (MIMO) systemsmultiple input-single output (MISO) systemsreconfigurable intelligent surface (RIS) |
| spellingShingle | Stamatia F. Drampalou Nikolaos I. Miridakis Helen C. Leligou Panagiotis A. Karkazis A Survey on Optimal Channel Estimation Methods for RIS-Aided Communication Systems Signals channel estimation channel state information (CSI) optimized algorithm multi input-multi output (MIMO) systems multiple input-single output (MISO) systems reconfigurable intelligent surface (RIS) |
| title | A Survey on Optimal Channel Estimation Methods for RIS-Aided Communication Systems |
| title_full | A Survey on Optimal Channel Estimation Methods for RIS-Aided Communication Systems |
| title_fullStr | A Survey on Optimal Channel Estimation Methods for RIS-Aided Communication Systems |
| title_full_unstemmed | A Survey on Optimal Channel Estimation Methods for RIS-Aided Communication Systems |
| title_short | A Survey on Optimal Channel Estimation Methods for RIS-Aided Communication Systems |
| title_sort | survey on optimal channel estimation methods for ris aided communication systems |
| topic | channel estimation channel state information (CSI) optimized algorithm multi input-multi output (MIMO) systems multiple input-single output (MISO) systems reconfigurable intelligent surface (RIS) |
| url | https://www.mdpi.com/2624-6120/4/1/12 |
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