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On Short Term Fairness and Throughput of User Clustering for Downlink Non-Orthogonal Multiple Access System

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On Short Term Fairness and Throughput of User Clustering for Downlink Non-Orthogonal Multiple Access System. / Navaie, Keivan; Ali, Borhanuddin Mohd.
2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring). IEEE, 2019.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Navaie K, Ali BM. On Short Term Fairness and Throughput of User Clustering for Downlink Non-Orthogonal Multiple Access System. In 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring). IEEE. 2019 doi: 10.1109/VTCSpring.2019.8746330

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@inproceedings{5ebad543d5064683823d7f364428c42f,
title = "On Short Term Fairness and Throughput of User Clustering for Downlink Non-Orthogonal Multiple Access System",
abstract = "Non-orthogonal multiple access (NOMA) with power-domain user multiplexing has been considered as one of the potential candidates of the fifth-Generation (5G) systems. In this paper, a two-stage user selection algorithm is proposed based on proportional fairness for downlink NOMA with zero-forcing beamforming (PF-NOMA-ZFBF) in order to improve the throughput-fairness trade-off for NOMA system. We focus on short term fairness, where short term refers to the minimum time window in which a specified fairness is guaranteed and evaluated using Jain's index. A transmit power allocation then applied to enhance the throughput of NOMA system. Simulation results show that the proposed PF-NOMA-ZFBF significantly improves user fairness index with at least 38.96% over conventional NOMA-ZFBF while maintaining the total system sum-rate (near maximum).",
author = "Keivan Navaie and Ali, {Borhanuddin Mohd}",
year = "2019",
month = apr,
day = "28",
doi = "10.1109/VTCSpring.2019.8746330",
language = "English",
isbn = "9781728112183",
booktitle = "2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - On Short Term Fairness and Throughput of User Clustering for Downlink Non-Orthogonal Multiple Access System

AU - Navaie, Keivan

AU - Ali, Borhanuddin Mohd

PY - 2019/4/28

Y1 - 2019/4/28

N2 - Non-orthogonal multiple access (NOMA) with power-domain user multiplexing has been considered as one of the potential candidates of the fifth-Generation (5G) systems. In this paper, a two-stage user selection algorithm is proposed based on proportional fairness for downlink NOMA with zero-forcing beamforming (PF-NOMA-ZFBF) in order to improve the throughput-fairness trade-off for NOMA system. We focus on short term fairness, where short term refers to the minimum time window in which a specified fairness is guaranteed and evaluated using Jain's index. A transmit power allocation then applied to enhance the throughput of NOMA system. Simulation results show that the proposed PF-NOMA-ZFBF significantly improves user fairness index with at least 38.96% over conventional NOMA-ZFBF while maintaining the total system sum-rate (near maximum).

AB - Non-orthogonal multiple access (NOMA) with power-domain user multiplexing has been considered as one of the potential candidates of the fifth-Generation (5G) systems. In this paper, a two-stage user selection algorithm is proposed based on proportional fairness for downlink NOMA with zero-forcing beamforming (PF-NOMA-ZFBF) in order to improve the throughput-fairness trade-off for NOMA system. We focus on short term fairness, where short term refers to the minimum time window in which a specified fairness is guaranteed and evaluated using Jain's index. A transmit power allocation then applied to enhance the throughput of NOMA system. Simulation results show that the proposed PF-NOMA-ZFBF significantly improves user fairness index with at least 38.96% over conventional NOMA-ZFBF while maintaining the total system sum-rate (near maximum).

U2 - 10.1109/VTCSpring.2019.8746330

DO - 10.1109/VTCSpring.2019.8746330

M3 - Conference contribution/Paper

SN - 9781728112183

BT - 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)

PB - IEEE

ER -