Reconfigurable Intelligent Surface (RIS)-Assisted Non-Terrestrial Network (NTN)-Based 6G Communications: A Contemporary Survey
This article examines the transformative potential of integrating reconfigurable intelligent surfaces (RISs) into sixth-generation (6G) wireless non-terrestrial networks (NTNs). The focus is on the RIS’s capability to address diverse user requirements, including secure data transmission, power effic...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/21/6958 |
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| author | Chika E. Worka Faheem A. Khan Qasim Zeeshan Ahmed Pradorn Sureephong Temitope Alade |
| author_facet | Chika E. Worka Faheem A. Khan Qasim Zeeshan Ahmed Pradorn Sureephong Temitope Alade |
| author_sort | Chika E. Worka |
| collection | DOAJ |
| description | This article examines the transformative potential of integrating reconfigurable intelligent surfaces (RISs) into sixth-generation (6G) wireless non-terrestrial networks (NTNs). The focus is on the RIS’s capability to address diverse user requirements, including secure data transmission, power efficiency, extended coverage, and enhanced data rates. The paper delves into the synergy between RISs and NTNs, emphasizing key components like multiple-input multiple-output (MIMO) systems and advanced radio communications. Additionally, it highlights the crucial role of artificial intelligence (AI) and machine learning (ML) in optimizing RIS-based beamforming to solve scientific and engineering challenges while ensuring energy efficiency and sustainability in NTN operations. By positioning RISs as a key enabler in shaping the future of wireless communication systems, this research underscores their significance in unlocking the full potential of NTNs and advancing next-generation wireless communications. This paper contributes valuable insights and projections for future research directions, highlighting RISs’ potential to revolutionize NTNs for 6G technologies. |
| format | Article |
| id | doaj-art-9b8725376233411f9ba8c0408db724fd |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-9b8725376233411f9ba8c0408db724fd2024-11-08T14:41:39ZengMDPI AGSensors1424-82202024-10-012421695810.3390/s24216958Reconfigurable Intelligent Surface (RIS)-Assisted Non-Terrestrial Network (NTN)-Based 6G Communications: A Contemporary SurveyChika E. Worka0Faheem A. Khan1Qasim Zeeshan Ahmed2Pradorn Sureephong3Temitope Alade4Department of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKDepartment of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKDepartment of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKCollege of Arts, Media and Technology, Chiang Mai University, Chiang Mai 50200, ThailandSchool of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UKThis article examines the transformative potential of integrating reconfigurable intelligent surfaces (RISs) into sixth-generation (6G) wireless non-terrestrial networks (NTNs). The focus is on the RIS’s capability to address diverse user requirements, including secure data transmission, power efficiency, extended coverage, and enhanced data rates. The paper delves into the synergy between RISs and NTNs, emphasizing key components like multiple-input multiple-output (MIMO) systems and advanced radio communications. Additionally, it highlights the crucial role of artificial intelligence (AI) and machine learning (ML) in optimizing RIS-based beamforming to solve scientific and engineering challenges while ensuring energy efficiency and sustainability in NTN operations. By positioning RISs as a key enabler in shaping the future of wireless communication systems, this research underscores their significance in unlocking the full potential of NTNs and advancing next-generation wireless communications. This paper contributes valuable insights and projections for future research directions, highlighting RISs’ potential to revolutionize NTNs for 6G technologies.https://www.mdpi.com/1424-8220/24/21/6958artificial intelligencebeamforming optimizationenergy efficiencyhigh-altitude non-terrestrial platformsmachine learningnon-terrestrial networks |
| spellingShingle | Chika E. Worka Faheem A. Khan Qasim Zeeshan Ahmed Pradorn Sureephong Temitope Alade Reconfigurable Intelligent Surface (RIS)-Assisted Non-Terrestrial Network (NTN)-Based 6G Communications: A Contemporary Survey Sensors artificial intelligence beamforming optimization energy efficiency high-altitude non-terrestrial platforms machine learning non-terrestrial networks |
| title | Reconfigurable Intelligent Surface (RIS)-Assisted Non-Terrestrial Network (NTN)-Based 6G Communications: A Contemporary Survey |
| title_full | Reconfigurable Intelligent Surface (RIS)-Assisted Non-Terrestrial Network (NTN)-Based 6G Communications: A Contemporary Survey |
| title_fullStr | Reconfigurable Intelligent Surface (RIS)-Assisted Non-Terrestrial Network (NTN)-Based 6G Communications: A Contemporary Survey |
| title_full_unstemmed | Reconfigurable Intelligent Surface (RIS)-Assisted Non-Terrestrial Network (NTN)-Based 6G Communications: A Contemporary Survey |
| title_short | Reconfigurable Intelligent Surface (RIS)-Assisted Non-Terrestrial Network (NTN)-Based 6G Communications: A Contemporary Survey |
| title_sort | reconfigurable intelligent surface ris assisted non terrestrial network ntn based 6g communications a contemporary survey |
| topic | artificial intelligence beamforming optimization energy efficiency high-altitude non-terrestrial platforms machine learning non-terrestrial networks |
| url | https://www.mdpi.com/1424-8220/24/21/6958 |
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