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

By Razieh Razavi, Mehrdad Dianati, Muhammad Ali Imran. 2017

523 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5a727ba30a59753d63c361a952d49050447c4bf0

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Citations in the corpus

• On the Ergodic Capacity of MIMO NOMA Systems (2015, background): “NON-ORTHOGONAL MULTIPLE ACCESS (NOMA) technique is widely considered as one promising technology to improve the system capacity of future wireless communication systems [1]–[3].”
• Optimal Joint Power and Subcarrier Allocation for Full-Duplex Multicarrier Non-Orthogonal Multiple Access Systems (2016, background): “However, the radio spectral resources are not fully exploited in [1]–[5], [8]–[10], [12], [13], since the base station (BS) operates in the half-duplex (HD) mode, where uplink (UL) and downlink (DL) transmissions employ orthogonal radio resources leading to spectrum underutilization.”
• Rate-splitting multiple access for downlink communication systems: bridging, generalizing, and outperforming SDMA and NOMA (2017, methodology): “5 of [1] with the four-user 2-layer HRS strategy illustrated in Fig.”
• The Application of MIMO to Non-Orthogonal Multiple Access (2015, background): “This is consistent with the findings obtai ned for single-antenna NOMA cases in [1] and [10].”
• Spectrum and Energy-Efficient Beamspace MIMO-NOMA for Millimeter-Wave Communications Using Lens Antenna Array (2017, methodology): “Note that although the combination of spatial MIMO and NOMA has been widely investigated [24]– [31], it only focused on the conventional MIMO systems rather than the mmWave massive MIMO systems.”
• Non-Orthogonal Multiple Access With Cooperative Full-Duplex Relaying (2016, background): “Compared to the conventional orthogonal multiple access protocols such as time division multiple access, frequency division multiple access and code division multiple access, the distinctive feature of NOMA is that users share the same time, frequency and code dimension, and user separation is done ”
• Relay Selection for Cooperative NOMA (2016, background): “I NTRODUCTION Non-orthogonal multiple access (NOMA) has been recognized as a promising enabling technology to improve the spectral efficiency of the fifth generation (5G) mobile netwo rk, and has been recently included into the fourth generation (4 G) long term evolution (LTE) system [1]–[3].”
• Dynamic User Clustering and Power Allocation for Uplink and Downlink Non-Orthogonal Multiple Access (NOMA) Systems (2016, background): “The authors in [1]-[3] proposed power domain user multiplexing at the BSs and SIC-based signal reception at UE terminals.”
• Enhancing the Physical Layer Security of Non-Orthogonal Multiple Access in Large-Scale Networks (2016, background): “The first one is to create more distinct channel quality differences between the pair ed users, since existing NOMA studies have demonstrated that i t is beneficial to pair two users having rather different chann el conditions [5, 11, 40].”
• A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment (2015, methodology): “Initial system implementations of NOMA in cellular networks have demonstr ated the superior spectral efficiency of NOMA [1], [2].”