Intelligent Reflecting Surfaces (IRS)-Enhanced Cooperative NOMA: A Contemporary Review
The integration of intelligent reflecting surfaces (IRS) into cooperative non-orthogonal multiple access (NOMA) systems revolutionizes wireless networks by enhancing signal strength, mitigating interference, and optimizing spectral efficiency. The cooperative NOMA (CNOMA) framework, empowered by IRS...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10535492/ |
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| author | Sanjeev Sharma Amit Kumar Mishra M. Hemant Kumar Kuntal Deka Vimal Bhatia |
| author_facet | Sanjeev Sharma Amit Kumar Mishra M. Hemant Kumar Kuntal Deka Vimal Bhatia |
| author_sort | Sanjeev Sharma |
| collection | DOAJ |
| description | The integration of intelligent reflecting surfaces (IRS) into cooperative non-orthogonal multiple access (NOMA) systems revolutionizes wireless networks by enhancing signal strength, mitigating interference, and optimizing spectral efficiency. The cooperative NOMA (CNOMA) framework, empowered by IRS technology, further promises enhanced performance, robustness, and scalability for next-generation wireless networks as compared to NOMA only systems. This paper explores the synergy between IRS and NOMA to leverage cooperative techniques for superior wireless system design. Fundamental principles, technological advancements, and potential applications of IRS-assisted CNOMA systems are discussed, highlighting existing works. Both underlay and overlay NOMA principles are examined in conjunction with IRS in the paper. Spatial modulation-aided CNOMA is explored for multiple-input multiple-output (MIMO) systems, along with its advantages and practical challenges. Additionally, the paper discusses fundamental principles and technological advancements of IRS-assisted CNOMA systems, emphasizing solutions to potential challenges and the role of machine learning (ML)/deep learning (DL) in resource optimization like transmit power and IRS phase settings. Simulation results are presented to highlight the benefits of IRS-aided CNOMA system design. Finally, the paper outlines future directions and potential research topics in IRS-aided CNOMA. |
| format | Article |
| id | doaj-art-bf60c072e31846ffb0a55abb044363f2 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-bf60c072e31846ffb0a55abb044363f22025-08-20T03:31:23ZengIEEEIEEE Access2169-35362024-01-0112821688219110.1109/ACCESS.2024.340393110535492Intelligent Reflecting Surfaces (IRS)-Enhanced Cooperative NOMA: A Contemporary ReviewSanjeev Sharma0https://orcid.org/0000-0001-7488-1064Amit Kumar Mishra1https://orcid.org/0000-0001-6631-1539M. Hemant Kumar2https://orcid.org/0000-0001-9976-186XKuntal Deka3https://orcid.org/0000-0002-8782-1682Vimal Bhatia4https://orcid.org/0000-0001-5148-6643IIT (BHU) Varanasi, Varanasi, IndiaNational Spectrum Centre, Aberystwyth University, Aberystwyth, U.K.ICS, Hyderabad, IndiaIIT Guwahati, Guwahati, IndiaIIT Indore, Indore, IndiaThe integration of intelligent reflecting surfaces (IRS) into cooperative non-orthogonal multiple access (NOMA) systems revolutionizes wireless networks by enhancing signal strength, mitigating interference, and optimizing spectral efficiency. The cooperative NOMA (CNOMA) framework, empowered by IRS technology, further promises enhanced performance, robustness, and scalability for next-generation wireless networks as compared to NOMA only systems. This paper explores the synergy between IRS and NOMA to leverage cooperative techniques for superior wireless system design. Fundamental principles, technological advancements, and potential applications of IRS-assisted CNOMA systems are discussed, highlighting existing works. Both underlay and overlay NOMA principles are examined in conjunction with IRS in the paper. Spatial modulation-aided CNOMA is explored for multiple-input multiple-output (MIMO) systems, along with its advantages and practical challenges. Additionally, the paper discusses fundamental principles and technological advancements of IRS-assisted CNOMA systems, emphasizing solutions to potential challenges and the role of machine learning (ML)/deep learning (DL) in resource optimization like transmit power and IRS phase settings. Simulation results are presented to highlight the benefits of IRS-aided CNOMA system design. Finally, the paper outlines future directions and potential research topics in IRS-aided CNOMA.https://ieeexplore.ieee.org/document/10535492/Intelligent reflecting surfaces (IRS)cooperative-NOMA (CNOMA)bit error performance5G and beyondmachine learningMIMO |
| spellingShingle | Sanjeev Sharma Amit Kumar Mishra M. Hemant Kumar Kuntal Deka Vimal Bhatia Intelligent Reflecting Surfaces (IRS)-Enhanced Cooperative NOMA: A Contemporary Review IEEE Access Intelligent reflecting surfaces (IRS) cooperative-NOMA (CNOMA) bit error performance 5G and beyond machine learning MIMO |
| title | Intelligent Reflecting Surfaces (IRS)-Enhanced Cooperative NOMA: A Contemporary Review |
| title_full | Intelligent Reflecting Surfaces (IRS)-Enhanced Cooperative NOMA: A Contemporary Review |
| title_fullStr | Intelligent Reflecting Surfaces (IRS)-Enhanced Cooperative NOMA: A Contemporary Review |
| title_full_unstemmed | Intelligent Reflecting Surfaces (IRS)-Enhanced Cooperative NOMA: A Contemporary Review |
| title_short | Intelligent Reflecting Surfaces (IRS)-Enhanced Cooperative NOMA: A Contemporary Review |
| title_sort | intelligent reflecting surfaces irs enhanced cooperative noma a contemporary review |
| topic | Intelligent reflecting surfaces (IRS) cooperative-NOMA (CNOMA) bit error performance 5G and beyond machine learning MIMO |
| url | https://ieeexplore.ieee.org/document/10535492/ |
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