Cascaded and separate channel estimation based on CNN for RIS-MIMO systems
With the dramatic increase in mobile users and wireless devices accessing the network, the performance of 5G wireless communication systems is severely challenged. Reconfigurable Intelligent Surface (RIS) has received much attention as one of the promising technologies for 6G due to its ease of depl...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Dr D. Pylarinos
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/113553/ http://psasir.upm.edu.my/id/eprint/113553/1/113553.pdf |
| _version_ | 1848866258753159168 |
|---|---|
| author | Hussein, Wala'a Noordin, Nor K. Audah, Kamil Rasid, Mod Fadlee B. A. Ismail, Alyani Flah, Aymen |
| author_facet | Hussein, Wala'a Noordin, Nor K. Audah, Kamil Rasid, Mod Fadlee B. A. Ismail, Alyani Flah, Aymen |
| author_sort | Hussein, Wala'a |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | With the dramatic increase in mobile users and wireless devices accessing the network, the performance of 5G wireless communication systems is severely challenged. Reconfigurable Intelligent Surface (RIS) has received much attention as one of the promising technologies for 6G due to its ease of deployment, low power consumption, and low price. This study aims to improve accuracy, reliability, and the capacity to estimate channel characteristics between transmitter and receiver. However, this is practically challenging for the following reasons. Due to the lack of active components for baseband signal processing, low-cost passive RIS elements can only reflect incident signals but without the capability to transmit/receive pilot signals for channel estimation as active transceivers in conventional wireless communication systems. This study presents different channel estimation methods for RIS-MIMO systems that use deep learning techniques. |
| first_indexed | 2025-11-15T14:17:45Z |
| format | Article |
| id | upm-113553 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:17:45Z |
| publishDate | 2024 |
| publisher | Dr D. Pylarinos |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1135532024-11-26T04:16:33Z http://psasir.upm.edu.my/id/eprint/113553/ Cascaded and separate channel estimation based on CNN for RIS-MIMO systems Hussein, Wala'a Noordin, Nor K. Audah, Kamil Rasid, Mod Fadlee B. A. Ismail, Alyani Flah, Aymen With the dramatic increase in mobile users and wireless devices accessing the network, the performance of 5G wireless communication systems is severely challenged. Reconfigurable Intelligent Surface (RIS) has received much attention as one of the promising technologies for 6G due to its ease of deployment, low power consumption, and low price. This study aims to improve accuracy, reliability, and the capacity to estimate channel characteristics between transmitter and receiver. However, this is practically challenging for the following reasons. Due to the lack of active components for baseband signal processing, low-cost passive RIS elements can only reflect incident signals but without the capability to transmit/receive pilot signals for channel estimation as active transceivers in conventional wireless communication systems. This study presents different channel estimation methods for RIS-MIMO systems that use deep learning techniques. Dr D. Pylarinos 2024 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/113553/1/113553.pdf Hussein, Wala'a and Noordin, Nor K. and Audah, Kamil and Rasid, Mod Fadlee B. A. and Ismail, Alyani and Flah, Aymen (2024) Cascaded and separate channel estimation based on CNN for RIS-MIMO systems. Engineering, Technology and Applied Science Research, 14 (3). pp. 14768-14774. ISSN 2241-4487; eISSN: 1792-8036 https://etasr.com/index.php/ETASR/article/view/7499 10.48084/etasr.7499 |
| spellingShingle | Hussein, Wala'a Noordin, Nor K. Audah, Kamil Rasid, Mod Fadlee B. A. Ismail, Alyani Flah, Aymen Cascaded and separate channel estimation based on CNN for RIS-MIMO systems |
| title | Cascaded and separate channel estimation based on CNN for RIS-MIMO systems |
| title_full | Cascaded and separate channel estimation based on CNN for RIS-MIMO systems |
| title_fullStr | Cascaded and separate channel estimation based on CNN for RIS-MIMO systems |
| title_full_unstemmed | Cascaded and separate channel estimation based on CNN for RIS-MIMO systems |
| title_short | Cascaded and separate channel estimation based on CNN for RIS-MIMO systems |
| title_sort | cascaded and separate channel estimation based on cnn for ris-mimo systems |
| url | http://psasir.upm.edu.my/id/eprint/113553/ http://psasir.upm.edu.my/id/eprint/113553/ http://psasir.upm.edu.my/id/eprint/113553/ http://psasir.upm.edu.my/id/eprint/113553/1/113553.pdf |