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

Navaie, Keivan and Ali, Borhanuddin Mohd (2019) 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. ISBN 9781728112183

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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).

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
131028
Deposited By:
Deposited On:
05 Feb 2019 15:25
Refereed?:
Yes
Published?:
Published
Last Modified:
27 Sep 2020 06:47