Optimizing sum rates in IoT networks: A novel IRS-NOMA cooperative system
Intelligent Reflecting Surfaces (IRS) offer a promising solution for enhancing sum rates in wireless networks by dynamically adjusting signal reflections to optimize propagation paths. When combined with Non-Orthogonal Multiple Access (NOMA), which enables multiple users to share the same frequency...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | ICT Express |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959525000487 |
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| author | Mukkara Prasanna Kumar Ammar Summaq Sunil Chinnadurai Poongundran Selvaprabhu Vinoth Babu Kumaravelu Md. Abdul Latif Sarker Dong Seog Han |
| author_facet | Mukkara Prasanna Kumar Ammar Summaq Sunil Chinnadurai Poongundran Selvaprabhu Vinoth Babu Kumaravelu Md. Abdul Latif Sarker Dong Seog Han |
| author_sort | Mukkara Prasanna Kumar |
| collection | DOAJ |
| description | Intelligent Reflecting Surfaces (IRS) offer a promising solution for enhancing sum rates in wireless networks by dynamically adjusting signal reflections to optimize propagation paths. When combined with Non-Orthogonal Multiple Access (NOMA), which enables multiple users to share the same frequency band, significant improvements in spectral efficiency can be achieved. However, as the number of users increases in IRS-NOMA systems, ensuring consistently high data rates for all users becomes challenging due to coverage limitations and inefficient power allocation in static network configurations, leading to performance degradation in multi-user scenarios. To address these limitations, we propose a novel IRS-NOMA cooperative system designed to optimize sum rates through an intelligent power allocation algorithm, nearby users, and IRS to assist the base station in delivering signals and expanding network coverage. The proposed system operates in two phases: during the first phase, the base station transmits signals directly to users and indirectly through the IRS. In the second phase, nearby users assist in relaying signals to enhance coverage and reliability. The proposed system adopts a cascaded channel model to accurately capture the interactions between the base station, IRS, and users. By leveraging our optimization algorithm, the proposed system ensures efficient resource allocation, achieving superior spectral efficiency and fairness among users compared to traditional models. Numerical results validate the effectiveness of the proposed system, demonstrating its potential for next-generation IoT networks. |
| format | Article |
| id | doaj-art-bd0a5a49c64c42dd99b320aa14ceceaa |
| institution | Kabale University |
| issn | 2405-9595 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj-art-bd0a5a49c64c42dd99b320aa14ceceaa2025-08-20T03:31:07ZengElsevierICT Express2405-95952025-06-0111344845310.1016/j.icte.2025.04.003Optimizing sum rates in IoT networks: A novel IRS-NOMA cooperative systemMukkara Prasanna Kumar0Ammar Summaq1Sunil Chinnadurai2Poongundran Selvaprabhu3Vinoth Babu Kumaravelu4Md. Abdul Latif Sarker5Dong Seog Han6Department of Electronics and Communication Engineering, School of Engineering and Sciences, SRM University-AP, 522502, IndiaDepartment of Electronics and Communication Engineering, School of Engineering and Sciences, SRM University-AP, 522502, IndiaDepartment of Electronics and Communication Engineering, School of Engineering and Sciences, SRM University-AP, 522502, India; Corresponding authors.Department of Communication Engineering, School of Electronics and Engineering, Vellore Institute of Technology, 632014, Vellore, Tamil Nadu, IndiaDepartment of Communication Engineering, School of Electronics and Engineering, Vellore Institute of Technology, 632014, Vellore, Tamil Nadu, IndiaCentre for ICT & Automotive Convergence, Kyungpook National University, Daegu 41566, Republic of KoreaSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Republic of Korea; Corresponding authors.Intelligent Reflecting Surfaces (IRS) offer a promising solution for enhancing sum rates in wireless networks by dynamically adjusting signal reflections to optimize propagation paths. When combined with Non-Orthogonal Multiple Access (NOMA), which enables multiple users to share the same frequency band, significant improvements in spectral efficiency can be achieved. However, as the number of users increases in IRS-NOMA systems, ensuring consistently high data rates for all users becomes challenging due to coverage limitations and inefficient power allocation in static network configurations, leading to performance degradation in multi-user scenarios. To address these limitations, we propose a novel IRS-NOMA cooperative system designed to optimize sum rates through an intelligent power allocation algorithm, nearby users, and IRS to assist the base station in delivering signals and expanding network coverage. The proposed system operates in two phases: during the first phase, the base station transmits signals directly to users and indirectly through the IRS. In the second phase, nearby users assist in relaying signals to enhance coverage and reliability. The proposed system adopts a cascaded channel model to accurately capture the interactions between the base station, IRS, and users. By leveraging our optimization algorithm, the proposed system ensures efficient resource allocation, achieving superior spectral efficiency and fairness among users compared to traditional models. Numerical results validate the effectiveness of the proposed system, demonstrating its potential for next-generation IoT networks.http://www.sciencedirect.com/science/article/pii/S2405959525000487Intelligent Reflecting SurfaceOrthogonal multiple accessNon-orthogonal multiple accessIoT |
| spellingShingle | Mukkara Prasanna Kumar Ammar Summaq Sunil Chinnadurai Poongundran Selvaprabhu Vinoth Babu Kumaravelu Md. Abdul Latif Sarker Dong Seog Han Optimizing sum rates in IoT networks: A novel IRS-NOMA cooperative system ICT Express Intelligent Reflecting Surface Orthogonal multiple access Non-orthogonal multiple access IoT |
| title | Optimizing sum rates in IoT networks: A novel IRS-NOMA cooperative system |
| title_full | Optimizing sum rates in IoT networks: A novel IRS-NOMA cooperative system |
| title_fullStr | Optimizing sum rates in IoT networks: A novel IRS-NOMA cooperative system |
| title_full_unstemmed | Optimizing sum rates in IoT networks: A novel IRS-NOMA cooperative system |
| title_short | Optimizing sum rates in IoT networks: A novel IRS-NOMA cooperative system |
| title_sort | optimizing sum rates in iot networks a novel irs noma cooperative system |
| topic | Intelligent Reflecting Surface Orthogonal multiple access Non-orthogonal multiple access IoT |
| url | http://www.sciencedirect.com/science/article/pii/S2405959525000487 |
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