Max-Min Fair Precoder Design and Power Allocation for MU-MIMO NOMA

Yalçin, Ahmet Zahid; Cetin, Mustafa Kagan; Yüksel, Melda

doi:10.1109/tvt.2021.3077504

Cited by 9 publications

(5 citation statements)

References 11 publications

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“…Note that the objective function and the constraint C1 in P 2 are convex, and the challenge is only in the constraints C2 and C3. However, we would like to mention that, similar problem has been considered and solved in the literature using bisection-based method, we refer the reader to [40]- [43] for more details.…”

Section: B Review: Conventional Noma Precodingmentioning

confidence: 99%

NOMA Made Practical: Removing the Receive SIC Processing Through Interference Exploitation

Salem,

Tong,

et al. 2024

IEEE Open J. Commun. Soc.

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Non-orthogonal multiple access (NOMA) is a powerful transmission technique that enhances the spectral efficiency of communication links, and is being investigated for 5G standards and beyond. A major drawback of NOMA is the need to apply successive interference cancellation (SIC) at the receiver on a symbol-by-symbol basis, which limits its practicality. To circumvent this, in this paper a novel constructive multiple access (CoMA) scheme is proposed and investigated. CoMA aligns the superimposed signals to the different users constructively to the signal of interest. Since the superimposed signal aligns with the data signal, there is no need to remove it at the receiver using SIC. Accordingly, SIC component can be removed at the receiver side. In this regard and in order to provide a comprehensive investigation and comparison, different optimization problems for user paring NOMA multiple-input-single-output (MISO) systems are considered. Firstly, an optimal precoder to minimize the total transmission power for CoMA subject to a quality-of-service constraint is obtained, and compared to conventional NOMA. Then, a precoder that minimizes the CoMA symbol error rate (SER) subject to power constraint is investigated. Further, the computational complexity of CoMA is considered and compared with conventional NOMA scheme in terms of total number of complex operations. The results in this paper prove the superiority of the proposed CoMA scheme over the conventional NOMA technique, and demonstrate that CoMA is an attractive solution for user paring NOMA MISO systems with low number of BS antennas, while circumventing the receive SIC complexity.

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Section: B Review: Conventional Noma Precodingmentioning

confidence: 99%

NOMA Made Practical: Removing the Receive SIC Processing Through Interference Exploitation

Salem,

Tong,

et al. 2024

IEEE Open J. Commun. Soc.

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“…Two distinct approaches that form the basis of SotA benchmark solutions are the sum-rate maximization approach of [45]- [49], and the max-min worst-case strategy pursued in [50]- [52], both of which are briefly reviewed below for the convenience of the reader.…”

Section: A State-of-the-art Benchmark Solutionsmentioning

confidence: 99%

Joint Access Configuration and Beamforming for Cell-Free Massive MIMO Systems With Dynamic TDD

et al. 2022

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We address the trade-off between system throughput and user equipment (UE) fairness in dynamic time division duplex (TDD) cell-free (CF)-massive multiple-input multiple-output (mMIMO) systems, developing to that end a joint access point (AP) access configuration, power allocation, and beamforming design scheme. Unlike state-of-the-art (SotA) methods, which mostly focus on sum-rate maximization or max-min worst case optimization, our design approach is to maximize the geometric mean of the UEs' throughput performance under a constrained transmit power, which is shown to yield an excellent compromise between system throughput and user fairness. The direct reformulation of the resulting optimization problem is, however, hard to solve due not only to the non-convexity of the objective function, but also to the binary constraint induced by the AP access configuration. We thus present an efficient (i.e., polynomial time complexity) solution for the problem via a combination of fractional programming (FP) and convex-concave procedure (CCP), assisted by a negative entropy regularizer that promotes a binary solution. Numerical simulations are offered to evaluate the throughput performance and fairness index of the proposed algorithm in comparison not only to conventional TDD-based solutions, but also to recent dynamic TDD SotA designs, which illustrate the effectiveness of the proposed approach over existing methodologies both in throughput and fairness.INDEX TERMS Cell-free massive multiple-input multiple-output, convex optimization, convex-concave procedure, dynamic time-division duplex, geometric mean, fractional programming.

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“…On the contrary, [24]- [27] aims to maximize the sum-rate capacity in the MU-mMIMO systems, where FDP and HP are studied in [24] and [25]- [27], respectively. Nonetheless, the sum-rate maximization objective might result in poor performance for arXiv:2207.08588v1 [cs.IT] 18 Jul 2022 [19], [20] [21] [22] [23]…”

Section: A Literature Reviewmentioning

confidence: 99%

Nature-Inspired Intelligent α-Fair Hybrid Precoding in Multiuser Massive Multiple-Input Multiple-Output Systems

Koç¹,

Le‐Ngoc²

2022

Preprint

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<p>This paper proposes a novel nature-inspired α-fair hybrid precoding (NI-αHP) technique for millimeter-wave multi-user massive multiple-input multiple-output systems. Unlike the existing HP literature, we propose to apply -fairness for maintaining various fairness expectations (e.g., sum-rate maximization, proportional fairness, max-min fairness, etc.). After developing the analog RF beamformer via slow time-varying angular information, the digital baseband (BB) precoder is designed via the reduced-dimensional effective channel matrix seen from the BB-stage. For the α-fairness, we derive the optimal digital BB precoder expression with a set of parameters, where optimizing them is an NP-hard problem. Hence, we efficiently optimize the parameters in the digital BB precoder via five nature-inspired intelligent algorithms. Numerical results present that when the sum-rate maximization is the target, the proposed NI-αHP technique greatly improves the sum-rate capacity and energy-efficiency performance compared to other benchmarks. Moreover, NI-αHP supports different fairness expectations and reduces the rate gap among UEs by varying the fairness level (α).</p>

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Max-Min Fair Precoder Design and Power Allocation for MU-MIMO NOMA

Cited by 9 publications

References 11 publications

NOMA Made Practical: Removing the Receive SIC Processing Through Interference Exploitation

NOMA Made Practical: Removing the Receive SIC Processing Through Interference Exploitation

Joint Access Configuration and Beamforming for Cell-Free Massive MIMO Systems With Dynamic TDD

Nature-Inspired Intelligent α-Fair Hybrid Precoding in Multiuser Massive Multiple-Input Multiple-Output Systems

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