Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends

By Linglong Dai, Bichai Wang, Yifei Yuan, Shuangfeng Han, I. Chih-Lin, Zhaocheng Wang. IEEE Communications Magazine, 2015

2,537 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3cb80b8887fd4d4d7e09e198c2628b12b9d8c831

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In Electrical and Electronic Engineering

Citations in the corpus

Deep Learning for an Effective Nonorthogonal Multiple Access Scheme (2018, background): “Output: Reconstructed sparse signals: x̂[1], x̂[2], .”
Pattern Division Multiple Access—A Novel Nonorthogonal Multiple Access for Fifth-Generation Radio Networks (2017, background): “Both SCMA and MUSA are based on code domain superposition [8].”
Joint Beamforming and Power Allocation for Satellite-Terrestrial Integrated Networks With Non-Orthogonal Multiple Access (2019, background): “In this context, non-orthogonal multiple access (NOMA) has been recently proposed as a promising technology in 5G [24].”
5G Wireless Network Slicing for eMBB, URLLC, and mMTC: A Communication-Theoretic View (2018, background): “3(a) depicts the type of results that are of interest when studying conventional OMA and NOMA within a given service type, as done in a growing line of work [5], [6].”
Grant-Free Non-Orthogonal Multiple Access for IoT: A Survey (2019, background): “Table II provides a summary of how some prominent NOMA schemes (discussed later in Section III) have been covered in recent surveys [16]–[30].”
On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems (2017, methodology): “On the other side, by using superposition coding at the transmitter with successive interference cancellation (SIC) at the receiver, NOMA allows allocating one (frequency, time, code, or spatial) channel to multiple users at the same time [11], which can lead to better performance in terms of spectr”
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications (2021, background): “Nonorthogonal multiple access (NOMA) [78],”
What is LiFi? (2016, neutral): “as a promising technology for 5G wireless communication [38].”
A Survey of Non-Orthogonal Multiple Access for 5G (2017, result): “It is observed that the sum capacity of non-orthogonal is higher than that of OMA [3].”
Fundamental Green Tradeoffs: Progresses, Challenges, and Impacts on 5G Networks (2016, methodology): “Therefore, an energy efficient NOA implementation using reconfigurable platform is promising [79] and the associated unified frame structure design [80] and lowoverhead protocol [81] to reduce the switching latency of multiple NOA schemes are also important.”
Resource Allocation for Downlink NOMA Systems: Key Techniques and Open Issues (2017, background): “IntroductIon Non-orthogonal multiple access (NOMA) enables a balanced trade-off between spectral efficiency and user fairness, being recognized as a promising multiple access technique for the fifth generation (5G) networks [1–4].”
A Survey on Spatial Modulation in Emerging Wireless Systems: Research Progresses and Applications (2019, background): “NOMA, which exhibits great potential in supporting both massive connectivity and low transmission latency, has been envisioned as one of the most promising technologies to accommodate more active users in the future network [155].”
Massive Access for 5G and Beyond (2020, methodology): “Hence, NOMA is a candidate technique for B5G wireless networks [127]-[130].”
Sub-Channel Assignment, Power Allocation, and User Scheduling for Non-Orthogonal Multiple Access Networks (2016, background): “Multiple users are allocated orthogonal resources in frequency domain in order to achieve multiplexing gain with reasonable complexity [3].”
Software-Defined Networking for Internet of Things: A Survey (2017, methodology): “[64] proposed a software-defined multiple access mechanism to support application-specific requirements of IoT, while enabling run-time adaptive configuration of available access”