Cooperative NOMA Meets Emerging Technologies: A Survey for Next-Generation Wireless Networks

May 22, 2025 ยท The Cartographer ยท ๐Ÿ› IEEE Open Journal of the Communications Society

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
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"Title-pattern auto-detect: Cooperative NOMA Meets Emerging Technologies: A Survey for Next-Generation Wireless Networks"

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Authors Mahmoud M. Salim, Suhail I. Al-Dharrab, Daniel Benevides Da Costa, Ali H. Muqaibel arXiv ID 2505.16327 Category cs.IT: Information Theory Cross-listed eess.SP Citations 2 Venue IEEE Open Journal of the Communications Society Last Checked 4 days ago
Abstract
The emerging demands of sixth-generation wireless networks, such as ultra-connectivity, native intelligence, and cross-domain convergence, are bringing renewed focus to cooperative non-orthogonal multiple access (C-NOMA) as a fundamental enabler of scalable, efficient, and intelligent communication systems. C-NOMA builds on the core benefits of NOMA by leveraging user cooperation and relay strategies to enhance spectral efficiency, coverage, and energy performance. This article presents a unified and forward-looking survey on the integration of C-NOMA with key enabling technologies, including radio frequency energy harvesting, cognitive radio networks, reconfigurable intelligent surfaces, space-air-ground integrated networks, and integrated sensing and communication-assisted semantic communication. Foundational principles and relaying protocols are first introduced to establish the technical relevance of C-NOMA. Then, a focused investigation is conducted into protocol-level synergies, architectural models, and deployment strategies across these technologies. Beyond integration, this article emphasizes the orchestration of C-NOMA across future application domains such as digital twins, extended reality, and e-health. In addition, it provides an extensive and in-depth review of recent literature, categorized by relaying schemes, system models, performance metrics, and optimization paradigms, including model-based, heuristic, and AI-driven approaches. Finally, open challenges and future research directions are outlined, spanning standardization, security, and cross-layer design, positioning C-NOMA as a key pillar of intelligent next-generation network architectures.
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