A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends

By Zhiguo Ding, Xianfu Lei, George K. Karagiannidis, Robert Schober, Jinhong Yuan, Vijay K. Bhargava. IEEE Journal on Selected Areas in Communications, 2017

2,163 citations recorded by the source corpus.

Non-orthogonal multiple access (NOMA) is an essential enabling technology for the fifth-generation (5G) wireless networks to meet the heterogeneous demands on low latency, high reliability, massive connectivity, improved fairness, and high throughput. The key idea behind NOMA is to serve multiple users in the same resource block, such as a time slot, subcarrier, or spreading code. The NOMA principle is a general framework, and several recently proposed 5G multiple access schemes can be viewed as special cases. This survey provides an overview of the latest NOMA research and innovations as well as their applications. Thereby, the papers published in this special issue are put into the context of the existing literature. Future research challenges regarding NOMA in 5G and beyond are also discussed.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/776a39ab39f492b8bee17a35a719810446eb819d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

Citations in the corpus

A Vision and Framework for the High Altitude Platform Station (HAPS) Networks of the Future (2020, background): “• Proposing suitable waveform designs and multiple access techniques for HAPS communication links, where the potential technologies such as Faster-Than-Nyquist (FTN) signaling, Spectrally-Efﬁcient Frequency Division Multiplexing (SEFDM), Filter Bank Multicarrier (FBMC) and Non-Orthogonal Multiple Ac”
Simultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges (2018, background): “NOMA is one of the major candidates in the design of radio access techniques for 5G [122].”
Physical-Layer Security of 5G Wireless Networks for IoT: Challenges and Opportunities (2019, methodology): “Via nonorthogonal resource allocation, IoT with NOMA can improve spectral efficiency and achieve massive connectivity with low transmission latency and signaling cost [56].”
A Comprehensive Overview on 5G-and-Beyond Networks With UAVs: From Communications to Sensing and Intelligence (2020, background): “NOMA is a key enabling technology for future mMTC applications due to its capability of allowing simultaneous transmissions of multiple devices in the same resource block [148], [180], [192].”
UAV Communications for 5G and Beyond: Recent Advances and Future Trends (2019, background): “NOMA has recently drawn considerable attention as one of the key enabling technologies for 5G communication systems [52], reaping a high spectral efficiency via incorporating superposition coding at the transmitter with SIC at the receivers.”
Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research (2018, background): “In particular, we first give a brief overview of the main ULL research directions in the 5G wireless access segment and refer to the extensive 5G wireless access literature for more details [34], [35], [229], [258]–[260].”
Non-Terrestrial Networks in 5G & Beyond: A Survey (2020, methodology): “Unlike the traditional OMA techniques where one user is being served on each orthogonal carrier, NOMA enables more than one user being served on each orthogonal carrier [83].”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “● The combination of MEC and NOMA can reinforce the services and applications that are supported by the 5G network.”
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications (2021, background): “Nonorthogonal multiple access (NOMA) [78], [77] is a key enabling candidate technology to simultaneously serve massive devices for model aggregation in the same radio resource block via superposition coding.”
A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks (2019, methodology): “Hence, the MIMO-NOMA system is usually broken down into a SISO-NOMA form that is easier to work with [16].”
Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G (2021, background): “Depending on whether each user is allocated orthogonal resources or not, the current multiple access techniques can be loosely classified into two categories, namely orthogonal transmission strategies and non-orthogonal transmission strategies [5], [6].”
Grant-Free Non-Orthogonal Multiple Access for IoT: A Survey (2019, background): “directions, Jul-2017 [21] X X X X X X X X X X X X X X X X”
Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends (2022, neutral): “The coupled nature of user grouping, decoding order, precoders, and user selection requires a joint optimization at the transmitter [143].”
A Tutorial on Fluid Antenna System for 6G Networks: Encompassing Communication Theory, Optimization Methods and Hardware Designs (2024, methodology): “Fast FAMA (68) is designed to exploit this phenomenon which is impossible for slow FAMA and that explains its increased capability.”
A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking (2021, background): “In general, for downlink NOMA, the signals of the UEs with worse channel conditions are likely to be decoded in prior [208], [210].”
An Overview of Signal Processing Techniques for Terahertz Communications (2020, background): “Non-orthogonal multiple access (NOMA) techniques [232], [233] have been recently proposed to combat the loss of spectral efficiency in orthogonal multiple access schemes, especially when the resources are allocated to users with poor”