A Tutorial on Nonorthogonal Multiple Access for 5G and Beyond

Abstract

Today's wireless networks allocate radio resources to users based on the orthogonal multiple access (OMA) principle. However, as the number of users increases, OMA based approaches may not meet the stringent emerging requirements including very high spectral efficiency, very low latency, and massive device connectivity. Nonorthogonal multiple access (NOMA) principle emerges as a solution to improve the spectral efficiency while allowing some degree of multiple access interference at receivers. In this tutorial style paper, we target providing a unified model for NOMA, including uplink and downlink transmissions, along with the extensions tomultiple inputmultiple output and cooperative communication scenarios. Through numerical examples, we compare the performances of OMA and NOMA networks. Implementation aspects and open issues are also detailed.

25 pages, 10 figures

References in corpus (14)

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• Capacity-Achieving Iterative LMMSE Detection for MIMO-NOMA Systems
• Capacity-Achieving Iterative LMMSE Detection for MIMO-NOMA Systems
• Relay Selection for Cooperative NOMA
• MIMO-NOMA Design for Small Packet Transmission in the Internet of Things

Cited by in corpus (6)

• A Survey of Rate-optimal Power Domain NOMA with Enabling Technologies of Future Wireless Networks
• A Survey on Cellular-connected UAVs: Design Challenges, Enabling 5G/B5G Innovations, and Experimental Advancements
• A Survey on Applications of Cache-Aided NOMA
• HybNet: A Hybrid Deep Learning -- Matched Filter Approach for IoT Signal Detection
• Relay Selection with Imperfect SIC for FD/HD NOMA Cooperative Networks over Nakagami-$m$ Fades
• Pairing optimization via statistics: Algebraic structure in pairing problems and its application to performance enhancement