NOMA for Next-generation Massive IoT: Performance Potential and Technology Directions
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Abstract (arXiv)
Broader applications of the Internet of Things (IoT) are expected in the forthcoming 6G system, although massive IoT is already a key scenario in 5G, predominantly relying on physical layer solutions inherited from 4G LTE and primarily using orthogonal multiple access (OMA). In 6G IoT, supporting a massive number of connections will be required for diverse services of the vertical sectors, prompting fundamental studies on how to improve the spectral efficiency of the system. One of the key enabling technologies is non-orthogonal multiple access (NOMA). This paper consists of two parts. In the first part, finite block length theory and the diversity order of multi-user systems will be used to show the significant potential of NOMA compared to traditional OMA. The supremacy of NOMA over OMA is particularly pronounced for asynchronous contention-based systems relying on imperfect link adaptation, which are commonly assumed for massive IoT systems. To approach these performance bounds, in the second part of the paper, several promising technology directions are proposed for 6G massive IoT, including linear spreading, joint spreading & modulation, multi-user channel coding in the context of various techniques for practical uncoordinated transmissions, cell-free operations, etc., from the perspective of NOMA.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Apr 2021.
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Citing papers per year: 2022: 2; 2023: 0; 2024: 1.
3 papers.
- 2022Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directionscited by 2
- 2022Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal Multiple Access Resource Allocation Using Buffer State Informationcited by 0
- 2024Deep Learning-Assisted Parallel Interference Cancellation for Grant-Free NOMA in Machine-Type Communicationcited by 0
- 2024Deep Learning-Assisted Parallel Interference Cancellation for Grant-Free NOMA in Machine-Type Communication12 Mar 2024
- 2022Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions2 Nov 2022
- 2022Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal Multiple Access Resource Allocation Using Buffer State Information31 Aug 2022