User selection and power schedule for downlink non-orthogonal multiple access (NOMA) system

Liu, Shimei; Zhang, Chao; Lyu, Gangming

doi:10.1109/iccw.2015.7247563

Cited by 50 publications

(69 citation statements)

References 10 publications

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“…This is because full power use of user 2 helps both SIC at user 1 and its own SINR at user 2, but full power use of user 1 is beneficial for its own rate but detrimental to user 2's rate since user 2 treats interference as noise. Substituting (12) - (13) into (8), we have…”

Section: Two-user Miso Broadcast Channel With Sic: Pareto-optimamentioning

confidence: 99%

Beam Design and User Scheduling for Nonorthogonal Multiple Access With Multiple Antennas Based on Pareto Optimality

Seo

Sung

2018

IEEE Trans. Signal Process.

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In this paper, an efficient transmit beam design and user scheduling method is proposed for multi-user (MU) multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) downlink, based on Pareto-optimality. The proposed beam design and user scheduling method groups simultaneously-served users into multiple clusters with practical two users in each cluster, and then applies spatical zeroforcing (ZF) across clusters to control inter-cluster interference (ICI) and Pareto-optimal beam design with successive interference cancellation (SIC) to two users in each cluster to remove interference to strong users and leverage signal-to-interference-plus-noise ratios (SINRs) of interference-experiencing weak users. The proposed method has flexibility to control the rates of strong and weak users and numerical results show that the proposed method yields good performance.

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Section: Two-user Miso Broadcast Channel With Sic: Pareto-optimamentioning

confidence: 99%

Beam Design and User Scheduling for Nonorthogonal Multiple Access With Multiple Antennas Based on Pareto Optimality

Seo

Sung

2018

IEEE Trans. Signal Process.

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“…Define the candidate user set as U , i.e., |U | = M. The BS simultaneously transmits K beams to provide multiuser downlink transmission, and each beam serves one user cluster, which includes two or more users to perform NOMA. For simplicity of analyzing, we assume the user cluster contains two users like [7] and [17]. To exploit the advantage of NOMA, users in one cluster have different target data rates.…”

Section: System Modelmentioning

confidence: 99%

“…Because these M candidate users have no idea on the beamforming matrix W and selected HR and LR users before CSI feedback, according to (17), all candidate users have to transmit their CQI as…”

Section: Cqi Feedback Modelmentioning

confidence: 99%

“…As both y k1 and y k2 include the intra-beam interference and users in one cluster cannot exchange its received information, SIC is implemented to remove the intrabeam interference in NOMA system [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. As the system capacity is up to the detecting order of the SIC receiver, we consider two cases:…”

Section: Successive Interference Cancelation Receivermentioning

confidence: 99%

“…User clustering scheme and precoding matrix optimization for the NOMA system were studied in [16]. In [17], the user selection and power schedule scheme for downlink NOMA system based on zero-forcing beamforming (NOMA-ZFBF) were proposed to improve the NOMA system capacity. An uplink NOMA system was proposed in [18].…”

Section: Introductionmentioning

confidence: 99%

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Non-orthogonal multiple access in a downlink multiuser beamforming system with limited CSI feedback

Liu

Zhang

2016

J Wireless Com Network

Self Cite

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Non-orthogonal multiple access (NOMA) has been recognized as a promising multiple access technology for fifth generation (5G) mobile communication system. However, the advantage of NOMA is only verified under the ideal condition that the transmitter has the perfect knowledge of channel state information (CSI). In this paper, NOMA downlink multiuser system, in which the transmitter acquires the CSI through limited feedback channel, is studied. Two traditional beamforming technologies, zero-forcing beamforming and random beamforming, are investigated in the NOMA downlink multiuser system. Making use of the imperfect CSI feedback, channel direction information (CDI), and channel quality indicator (CQI), we propose the user selection scheme to reduce the interference between the NOMA users. Furthermore, a power allocation scheme is proposed to improve the sum-rate of NOMA system. Numerical results show that NOMA system with limited feedback channel still gains larger system rate than traditional orthogonal multiple access system. It is also shown that random beamforming is more suitable for the NOMA system with limited CSI feedback.

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A survey and taxonomy on nonorthogonal multiple‐access schemes for 5G networks

Basharat

Ejaz

Naeem

et al. 2017

Trans Emerging Tel Tech

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The intensity in the requirements of Internet of Things and mobile internet makes the efficiency of fifth-generation (5G) wireless communications very challenging to achieve. Accomplishing the drastically increasing demand of massive connectivity and high spectral efficiency is a strenuous task. Because of the very large number of devices, 5G wireless communication systems are inevitable to satisfy the traffic requirements. Recently, nonorthogonal multiple-access (NOMA) schemes are immensely being explored to address the challenges in 5G, which include effective bandwidth utilization, support for a massive number of devices, and low latency.This paper provides the reader with a holistic view of multiple-access schemes, methods, and strategies for optimization in NOMA. First, we discuss the taxonomy of multiple-access schemes in the literature; then, we provide a detailed discussion of objectives, constraints, problem types, and solution approaches for NOMA. This paper also discusses the decoding methods and key performance indicators used in NOMA. Finally, we outline future research directions.

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User selection and power schedule for downlink non-orthogonal multiple access (NOMA) system

Cited by 50 publications

References 10 publications

Beam Design and User Scheduling for Nonorthogonal Multiple Access With Multiple Antennas Based on Pareto Optimality

Beam Design and User Scheduling for Nonorthogonal Multiple Access With Multiple Antennas Based on Pareto Optimality

Non-orthogonal multiple access in a downlink multiuser beamforming system with limited CSI feedback

A survey and taxonomy on nonorthogonal multiple‐access schemes for 5G networks

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