Waterfilling-Based Proportional Fairness Scheduler for Downlink Non-Orthogonal Multiple Access

Hojeij, Marie-Rita; Nour, Charbel Abdel; Farah, Joumana; Douillard, Catherine

doi:10.1109/lwc.2017.2665470

Cited by 49 publications

(48 citation statements)

References 9 publications

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“…Non-orthogonal multiple access (NOMA) has recently emerged as a promising multiple access technique to significantly improve the attainable spectral efficiency for fifth generation (5G) mobile networks. Power-domain NOMA enables the access of multiple users to the same frequency resource at the same time by taking advantage of the channel gain difference between users [8][9][10][11][12], through signal power multiplexing. At the receiver side, user separation is performed using successive interference cancellation (SIC).…”

Section: B Power Domain Non-orthogonal Multiple Accessmentioning

confidence: 99%

Power Minimization in Distributed Antenna Systems Using Non-Orthogonal Multiple Access and Mutual Successive Interference Cancellation

Farah

Kilzi

Nour

et al. 2018

IEEE Trans. Veh. Technol.

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This paper introduces new approaches for combining non-orthogonal multiple access with distributed antenna systems. The study targets a minimization of the total transmit power in each cell, under user rate and power multiplexing constraints. Several new suboptimal power allocation techniques are proposed. They are shown to yield very close performance to an optimal power allocation scheme. Also, a new approach based on mutual successive interference cancellation of paired users is proposed. Different techniques are designed for the joint allocation of subcarriers, antennas, and power, with a particular care given to maintain a moderate complexity. The coupling of non-orthogonal multiple access to distributed antenna systems is shown to greatly outperform any other combination of orthogonal/non-orthogonal multiple access schemes with distributed or centralized deployment scenarios.

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Section: B Power Domain Non-orthogonal Multiple Accessmentioning

confidence: 99%

Power Minimization in Distributed Antenna Systems Using Non-Orthogonal Multiple Access and Mutual Successive Interference Cancellation

Farah

Kilzi

Nour

et al. 2018

IEEE Trans. Veh. Technol.

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“…The implementation of an optimal Power Allocation (PA) scheme based on a waterfilling process jointly performing intra and inter-subband PA is quite complex since it requires the resolution of a non-convex optimization problem. For this purpose, we have proposed a sub-optimal PA technique using an iterative waterfilling process [14], where only the user with the highest channel coefficient among scheduled users is considered in the inter-subband PA step. This technique was applied in the current work, combined with the Fractional Transmit Power Allocation (FTPA) technique [15] for intra-subband PA between the two paired users.…”

Section: User Pairingmentioning

confidence: 99%

Advanced Resource Allocation Technique for a Fair Downlink Non-Orthogonal Multiple Access System

Hojeij

Nour

Farah

et al. 2018

2018 25th International Conference on Telecommunications (ICT)

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Abstract-In this paper, a novel resource allocation technique is proposed for a power-domain non-orthogonal multiple access scheme using successive interference cancellation in a downlink cellular system. It aims at providing a flexible balancing between throughput and fairness maximization and incorporates unequal power repartition among allocated subbands using waterfilling. Its main strength is the ability to achieve a high level of fairness in every scheduling slot, therefore improving the quality of experience for all users. Fairness is achieved by the introduction of a new efficient scheduling metric within the allocation process. Extensive simulation results show that the proposed metric enhances both long-term and short-term fairness, and improves system capacity, when compared to the conventional proportional fairness scheduler.

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“…In another research an optimal power allocation scheme in the system was investigated from the concept of α‐fairness with the solution of the ergotic rate maximization and the sum of capacity problem in a downlink (DL) NOMA system. A waterfilling based power allocation technique has been applied to the DL NOMA combined with proportional fairness scheduler to maximize the average rate with near‐optimal power distribution between subbands and high fairness . In other analysis, the trade‐off between EE and SE from the combination of orthogonal frequency division multiplexing access (OFDMA) and NOMA systems were made from the user's fairness restriction .…”

Section: Introductionmentioning

confidence: 99%

Nonorthogonal multiple access systems optimization to ensure maximum fairness to users

Jacob

Abrão

2020

Trans Emerging Tel Tech

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In this contribution, the optimization of power proportion allocated for each user in the downlink (DL) nonorthogonal multiple access (NOMA) systems have been developed. Successive interference cancellation technique recovers users' signal with high difference between channel gains, to find the lowest optimum power proportion required to guarantee an equal data rate for all active users.Following the same approach, the optimum power proportion for each user and also the minimum total power to achieve the same rate for all users (maximum fairness) were obtained as a design goal. Moreover, the same design methodology was developed seeking to maximize the NOMA system energy efficiency (EE). It was possible to find the maximum EE point and the respective power distribution among the users for a certain circuitry power consumption. For all NOMA users, in which the optimal operation point for EE maximization was parameterized, it was possible to find the total power, power ratio, and the equal rate values. As a result, one can find the trade-off point between EE and sum rate for each system scenario, as well as the best resource efficiency operation point. By considering the same rate for all users, the system attains maximum fairness among the users.Abbreviations: BS, base station; DL, downlink; EE, energy efficiency; NOMA, nonorthogonal multiple access; OMA, orthogonal multiple access; QoS, quality of service; RF, radio frequency; SE, spectral efficiency; SIC, successive cancellation of interference; SINR, signal-to-interference-plus-noise power ratio; SQP, sequential quadratic programming.Trans Emerging Tel Tech. 2020;31:e3875.wileyonlinelibrary.com/journal/ett

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Waterfilling-Based Proportional Fairness Scheduler for Downlink Non-Orthogonal Multiple Access

Cited by 49 publications

References 9 publications

Power Minimization in Distributed Antenna Systems Using Non-Orthogonal Multiple Access and Mutual Successive Interference Cancellation

Power Minimization in Distributed Antenna Systems Using Non-Orthogonal Multiple Access and Mutual Successive Interference Cancellation

Advanced Resource Allocation Technique for a Fair Downlink Non-Orthogonal Multiple Access System

Nonorthogonal multiple access systems optimization to ensure maximum fairness to users

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