Optimal User Pairing for Downlink Non-Orthogonal Multiple Access (NOMA)

Zhu, Lipeng; Zhang, Jun; Xiao, Zhenyu; Cao, Xianbin; Wu, Dapeng

doi:10.1109/lwc.2018.2853741

Cited by 213 publications

(167 citation statements)

References 7 publications

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“…The impact of user grouping on NOMA performance is investigated in [11,56,[71][72][73][74][75][76][77][78][79][80][81][82][83]. The authors in [56] grouped users together whose channel gains differ significantly.…”

Section: Noma In Single-cell Single-tier Cellular Networkmentioning

confidence: 99%

“…The results show that the proposed algorithm is capable of achieving superior rate fairness among NOMA users when compared to conventional random pairing and beamforming NOMA systems. In order to optimize the achievable rate, the problem of joint user pairing and power allocation is investigated in [76] under the condition of meeting minimum rate requirements of each user. The authors first obtain the optimized solutions by considering simpler systems with two and four users, and then derived the closed-form global optimal solution for generalized NOMA system.…”

Section: Noma In Single-cell Single-tier Cellular Networkmentioning

confidence: 99%

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A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

et al. 2019

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The fifth generation (5G) wireless systems are anticipated to meet unprecedented capacity and latency requirements. In order to resolve these challenges in 5G, non-orthogonal multiple access (NOMA) is considered as a promising technique due to its ability to enhance spectrum efficiency and user access. As opposed to conventional orthogonal multiple access (OMA) which relies on orthogonal resource sharing, NOMA has a potential of supporting a higher number of users by multiplexing different users in the same resource in a non-orthogonal manner. With advanced receiver techniques, such as successive interference cancellation (SIC), the intra-user interference can be minimized at the NOMA receiver. To date, there are comprehensive surveys on NOMA, which describe the integration of NOMA with different communication technologies and discuss different NOMA classifications. However, the existing literature is scarce in reviewing state-of-the-art applications of NOMA from the perspective of its application to cellular networks (CNs), device-to-device (D2D) communications, and wireless sensor networks (WSNs). Therefore, the purpose of this survey is to fill this gap in knowledge. Specifically, NOMA with its underlying concepts are elaborated in detail. In addition, detailed system model of different NOMA-based wireless networks is presented. Furthermore, irrespective of the underlying spatial topology of the considered NOMA-based wireless network, general analytical expressions are presented to characterize the network performance. Finally, some challenges related to NOMA design are highlighted and potential research directions are pointed out to address these issues.

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Section: Noma In Single-cell Single-tier Cellular Networkmentioning

confidence: 99%

Section: Noma In Single-cell Single-tier Cellular Networkmentioning

confidence: 99%

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

et al. 2019

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“…Remark 1. Though the optimal decoding order or user pairing for NOMA has been investigated in [13], [30], [31], these works are generally focused on the single-antenna scenarios. In contrast, the optimal design in our considered multi-antenna user cluster based system is quite complicated.…”

Section: User Scheduling-based Sicmentioning

confidence: 99%

Secure Users Oriented Downlink MISO NOMA

Wang

Zhang

Yang

et al. 2019

IEEE J. Sel. Top. Signal Process.

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This paper proposes a secure users oriented multiple-input and single-output (MISO) non-orthogonal multiple access (NOMA) downlink transmission scheme, where multiple legitimate users are categorized as quality of service (QoS)-required users (QU) and the security-required users (SU) overheard by a passive eavesdropper. The basic idea is to exploit zero-forcing beamforming (ZFBF) to cancel interference among SUs, and then several QUs are efficiently scheduled based on the obtained beamforming vectors to divide the legitimate users into several user clusters, in such a way that the QUs could share the concurrent transmissions and help to interfere with the eavesdropper to enhance SU secrecy. The goal is to maximize the achievable minimum secrecy rate (MSR) and sum secrecy rate (SSR) of all SUs, respectively, subject to the secrecy outage probability (SOP) constraint of each SU and the QoS constraint of each QU. To provide a comprehensive investigation we consider two extreme cases that the eavesdropper has perfect multiuser detection ability (lower bound of secrecy) or does not have multiuser detection ability (upper bound of secrecy). In the lower bound case, the Dinkelbach algorithm and the monotonic optimization (MO)-based outer polyblock approximation algorithm are proposed to solve the max-min secrecy rate (MMSR) and max-sum secrecy rate (MSSR) problems, respectively. As for the upper bound case, an alternative optimization (AO)-based algorithm is proposed to solve the two non-convex problems. Finally, the superiority of the proposed cases to the conventional orthogonal multiple access (OMA) one is verified by numerical results.Index Terms-Convex optimization, non-orthogonal multiple access, power allocation, physical layer security.

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“…Odd users from the CC group select the least difference Euclidean norm user from the CE group and even users from the CC group choose the CE user which has the large difference in the Euclidean norm between them. A similar approach has been proposed in [34]. In both cases the aim of user grouping is to maximize the sum-rate.…”

Section: State Of the Artmentioning

confidence: 99%

On the optimal user grouping in NOMA system technology

Masaracchia¹,

Ha²,

Le³

2019

EAI Endorsed Transactions on Industrial Networks and Intelligen

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This paper provides a state-of-art analysis of the most relevant studies on optimal user-aggregation strategies for non-orthogonal multiple access (NOMA) technology. The main ideas behind are i) to highlight how, in addition to the adoption of an optimal power allocation scheme, an optimal user-aggregation strategy represents an important key factor for improving NOMA system performance, and ii) to provide an exhaustive survey of the most relevant studies which can serve as useful starting point for the definition of new channel state-aware user-aggregation strategies for NOMA systems which, at the time of writing, represents a research field that still remains to be investigated more in depth. A detailed and complete analysis, which permits to point out the need to guarantee a certain relationship between users' channel gain, is provided for each cited work.

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Optimal User Pairing for Downlink Non-Orthogonal Multiple Access (NOMA)

Cited by 213 publications

References 7 publications

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

Secure Users Oriented Downlink MISO NOMA

On the optimal user grouping in NOMA system technology

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