Open AccessBook Chapter
Non-Orthogonal Multiple Access (NOMA) for cellular future radio access
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Considering the trend in 5G, achieving significant gains in capacity and system throughput performance is a high priority requirement in view of the recent exponential increase in the volume of mobile traffic and the proposed system should be able to support enhanced delay-sensitive high-volume services.Abstract:
Radio access technologies for cellular mobile communications are typically characterized by multiple access schemes, e.g., frequency division multiple access (FDMA), time division multiple access (TDMA), code division multiple access (CDMA), and OFDMA. In the 4th generation (4G) mobile communication systems such as Long-Term Evolution (LTE) (Au et al., Uplink contention based SCMA for 5G radio access. Globecom Workshops (GC Wkshps), 2014. doi:10.1109/GLOCOMW.2014.7063547) and LTE-Advanced (Baracca et al., IEEE Trans. Commun., 2011. doi:10.1109/TCOMM.2011.121410.090252; Barry et al., Digital Communication, Kluwer, Dordrecht, 2004), standardized by the 3rd Generation Partnership Project (3GPP), orthogonal multiple access based on OFDMA or single carrier (SC)-FDMA is adopted. Orthogonal multiple access was a reasonable choice for achieving good system-level throughput performance with simple single-user detection. However, considering the trend in 5G, achieving significant gains in capacity and system throughput performance is a high priority requirement in view of the recent exponential increase in the volume of mobile traffic. In addition the proposed system should be able to support enhanced delay-sensitive high-volume services such as video streaming and cloud computing. Another high-level target of 5G is reduced cost, higher energy efficiency and robustness against emergencies.read more
Citations
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The Application of MIMO to Non-Orthogonal Multiple Access
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A Survey of In-Band Full-Duplex Transmission: From the Perspective of PHY and MAC Layers
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A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment
TL;DR: A novel MIMO-NOMA framework for downlink and uplink transmission is proposed by applying the concept of signal alignment and closed-form analytical results are developed to facilitate the performance evaluation of the proposed framework for randomly deployed users and interferers.
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Optimal Joint Power and Subcarrier Allocation for Full-Duplex Multicarrier Non-Orthogonal Multiple Access Systems
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References
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Proceedings ArticleDOI
Spectral Efficiency Maximization for Uplink Cell-Free Massive MIMO-NOMA Networks
TL;DR: This paper derives a rigorous closed-form approximation of the spectral efficiency expression for conjugate beamforming receiver and proposes a total spectral efficiency maximization algorithm, subjecting to each user's quality-of-service (QoS) constraint, transmission power constraint, and successive interference cancellation (SIC) constraint.
Journal ArticleDOI
Joint Detection of Visible Light Communication Signals Under Non-Orthogonal Multiple Access
Xun Guan,Qing Yang,Chun-Kit Chan +2 more
TL;DR: A phase pre-distorted joint detection method to improve the system performance of uplink non-orthogonal multiple access (NOMA) in visible light communications and outperforms the previously proposed successive interference cancellation-based NOMA with or without pre- Distortion.
Journal ArticleDOI
On generalized downlink beamforming with NOMA
TL;DR: It is shown that the (generalized) NOMA beamforming can outperform the conventional beamforming, especially under limited scattering environments.
Journal ArticleDOI
BER Analysis of SCMA Systems With Codebooks Based on Star-QAM Signaling Constellations
TL;DR: A theoretical expression for the BER performance of SCMA systems with codebooks based on star quadrature amplitude modulation over the additive white Gaussian noise channel is derived based on the statistics of the phase angle in SCMA constellations.
Journal ArticleDOI
Asynchronous NOMA for Downlink Transmissions
TL;DR: The numerical results show that ANOMA with precoding and WD detection outperforms asynchronous N OMA with successive interference cancellation detection, both outperform synchronous NOMA.