Optimal Power Allocation Scheme for Non-Orthogonal Multiple Access With $\alpha $ -Fairness

Xu, Peng; Cumanan, Kanapathippillai

doi:10.1109/jsac.2017.2729780

Cited by 111 publications

(87 citation statements)

References 42 publications

(94 reference statements)

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“…Due to high spectral efficiency, non-orthogonal multiple access (NOMA) is accepted as a promising band-efficient candidate technology for the future mobile networks [3] - [7]. In NOMA systems, superposition coding is applied at source nodes and successive interference cancellation technology is adopted at destinations.…”

Section: A Background and Related Workmentioning

confidence: 99%

Secrecy Outage of Max–Min TAS Scheme in MIMO-NOMA Systems

Lei

Zhang

Park

et al. 2018

IEEE Trans. Veh. Technol.

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Section: A Background and Related Workmentioning

confidence: 99%

Secrecy Outage of Max–Min TAS Scheme in MIMO-NOMA Systems

Lei

Zhang

Park

et al. 2018

IEEE Trans. Veh. Technol.

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“…The exponential growth of mobile data and multimedia traffic imposes high data rate requirements in the next generation wireless networks [6], [33], [37], [44]. In handling this enormous amount of data traffic, multiple access techniques play a crucial role through efficiently accommodating multiple users [9], [21], [28], [37], [53]. Recently, non-orthogonal multiple access (NOMA) has been envisioned as one of the key enabling techniques to address these high data rate requirements and it is expected to significantly enhance throughput as well as to support massive connectivity in 5G networks and beyond.…”

Section: Introductionmentioning

confidence: 99%

Beamforming Techniques for Nonorthogonal Multiple Access in 5G Cellular Networks

Alavi

Cumanan

Ding

et al. 2018

IEEE Trans. Veh. Technol.

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Abstract-In this paper, we develop various beamforming techniques for downlink transmission for multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) systems. First, a beamforming approach with perfect channel state information (CSI) is investigated to provide the required quality of service (QoS) for all users. Taylor series approximation and semidefinite relaxation (SDR) techniques are employed to reformulate the original non-convex power minimization problem to a tractable one. Further, a fairness-based beamforming approach is proposed through a max-min formulation to maintain fairness between users. Next, we consider a robust scheme by incorporating channel uncertainties, where the transmit power is minimized while satisfying the outage probability requirement at each user. Through exploiting the SDR approach, the original non-convex problem is reformulated in a linear matrix inequality (LMI) form to obtain the optimal solution. Numerical results demonstrate that the robust scheme can achieve better performance compared to the non-robust scheme in terms of the rate satisfaction ratio. Further, simulation results confirm that NOMA consumes a little over half transmit power needed by OMA for the same data rate requirements. Hence, NOMA has the potential to significantly improve the system performance in terms of transmit power consumption in future 5G networks and beyond.Index Terms-Non-orthogonal multiple access (NOMA), Maxmin fairness, Robust beamforming, Outage Probability.

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“…The SRM in (15) can be solved by exploiting the minorization maximization algorithm [6]. In the following subsection, we develop an effective approach to solve the SOO in (13). It is worth to make two important observations regarding the SOO optimization problem ∼ P 1 .…”

Section: A Single Objective Optimizationmentioning

confidence: 99%

Sum Rate Fairness Trade-off-based Resource Allocation Technique for MISO NOMA Systems

Al‐Obiedollah

Cumanan

Thiyagalingam

et al. 2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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In this paper, we propose a beamforming design that jointly considers two conflicting performance metrics, namely the sum rate and fairness, for a multiple-input single-output non-orthogonal multiple access system. Unlike the conventional rate-aware beamforming designs, the proposed approach has the flexibility to assign different weights to the objectives (i.e., sum rate and fairness) according to the network requirements and the channel conditions. In particular, the proposed design is first formulated as a multi-objective optimization problem, and subsequently mapped to a single objective optimization (SOO) problem by exploiting the weighted sum approach combined with a prior articulation method. As the resulting SOO problem is non-convex, we use the sequential convex approximation technique, which introduces multiple slack variables, to solve the overall problem. Simulation results are provided to demonstrate the performance and the effectiveness of the proposed approach along with detailed comparisons with conventional rate-awarebased beamforming designs.

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Optimal Power Allocation Scheme for Non-Orthogonal Multiple Access With $\alpha $ -Fairness

Cited by 111 publications

References 42 publications

Secrecy Outage of Max–Min TAS Scheme in MIMO-NOMA Systems

Secrecy Outage of Max–Min TAS Scheme in MIMO-NOMA Systems

Beamforming Techniques for Nonorthogonal Multiple Access in 5G Cellular Networks

Sum Rate Fairness Trade-off-based Resource Allocation Technique for MISO NOMA Systems

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