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Non-Orthogonal Multiple Access (NOMA) for cellular future radio access

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TLDR
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.

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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

Two Simplified Multiuser Detection Algorithms for Uplink SCMA Systems via Generalized Approximate Message Passing

TL;DR: Simulation results show that the GAMP- MPA achieves better performance than MPA with an acceptable extra complexity cost, and SIC-GAMP-MPA has significantly decreased complexity compared to M PA with similar performance.
Proceedings ArticleDOI

Successive interference cancellation in full duplex cellular networks

TL;DR: A novel co-channel interference cancellation (CCIC) scheme is proposed to improve the spectrum efficiency by cancelling CCI in FD cellular networks and the upper bound of the instantaneous end-to-end equivalent link capacity in a FD cellular network is derived.
Proceedings ArticleDOI

Optimal Downlink Resource Allocation for Joint Transmission CoMP-Enabled NOMA Networks: A Benchmark Implementation

TL;DR: This paper proposes an implementation of the centralized resource allocation problem for JT-CoMP-NOMA in GAMS, where the aim is to perform joint sub-carrier assignment and power allocation in multi-cell downlink NOMA networks.
Proceedings ArticleDOI

Energy-Efficient Resource Allocation in Downlink GFDM-NOMA Networks

TL;DR: This paper investigates the downlink radio resource allocation for wireless communications which consist of generalized frequency division multiplexing (GFDM) and non-orthogonal multiple access (NOMA) and demonstrates the correctness of the analysis and effectiveness of the algorithm.
Journal ArticleDOI

Full-duplex user-centric communication using non-orthogonal multiple access

TL;DR: It is found that the proposed user-centric NOMA approach has a 64% improvement in the total achievable rate when compared to the benchmarked approach under similar power constraint.