Non-Orthogonal Multiple Access: Common Myths and Critical Questions

By Mojtaba Vaezi, Robert Schober, Zhiguo Ding, H. Vincent Poor. IEEE wireless communications, 2018

301 citations recorded by the source corpus.

Non-orthogonal multiple access (NOMA) has received tremendous attention for the design of radio access techniques for fifth generation (5G) wireless networks and beyond. The basic concept behind NOMA is to serve more than one user in the same resource block, for example, a time slot, subcarrier, spreading code, or space. With this, NOMA promotes massive connectivity, lowers latency, improves user fairness and spectral efficiency, and increases reliability compared to orthogonal multiple access (OMA) techniques. While NOMA has gained significant attention from the communications community, it has also been subject to several widespread misunderstandings, such as "NOMA is based on allocating higher power to users with worse channel conditions. As such, cell-edge users receive more power in NOMA and due to this biased power allocation toward celledge users inter-cell interference is more severe in NOMA compared to OMA. NOMA also compromises security for spectral efficiency." The above statements are actually false, and this article aims at identifying such common myths about NOMA and clarifying why they are not true. We also pose critical questions that are important for the effective adoption of NOMA in 5G and beyond and identify promising research directions for NOMA, which will require intense investigation in the future.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e252be5e896e33b1b73cfd158634deec5601e6ac

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In Electrical and Electronic Engineering

Citations in the corpus

Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges (2019, methodology): “user clustering, power allocation in the presence of imperfect Successive Interference Cancellation (SIC) and jamming attacks), it is of interest to exploit the benefits of learning-based technique for NOMA systems [171].”
A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks (2019, background): “, a time/frequency resource block) and separate the users in other domains with some additional receiver complexity [2].”
A Vision and Framework for the High Altitude Platform Station (HAPS) Networks of the Future (2020, methodology): “MIMO-NOMA overloads SDMA by allocating a cluster of UEs to each beam and using SC-SIC within each group [208].”