Multiple-Antenna-Assisted Non-Orthogonal Multiple Access

Liu, Yuanwei; Xing, Hong; Pan, Cunhua; Nallanathan, Arumugam; Elkashlan, Maged; Hanzo, Lajos

doi:10.1109/mwc.2018.1700080

Cited by 140 publications

(76 citation statements)

References 17 publications

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“…1) Studies on MIMO-NOMA systems: Current multiple-input multiple-output (MIMO) NOMA applications can be primarily classified into a pair of categories, namely, beamformer based structure and cluster based structure. In beamformer based structure, one centralized beamformer serves only one user in a beam [17]. Choi proposed a coordinated multi-point transmission scheme in [18], where two base stations (BS) serve paired NOMA users simultaneously by beamformer based structure.…”

Section: A Motivations and Related Workmentioning

confidence: 99%

Multiple Antenna Aided NOMA in UAV Networks: A Stochastic Geometry Approach

Hou

Liu

Song

et al. 2019

IEEE Trans. Commun.

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154

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This article investigates the multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) assisted unmanned aerial vehicles (UAVs) networks. By utilizing a stochastic geometry model, a new 3-Dimension UAV framework for providing wireless service to randomly roaming NOMA users has been proposed. In an effort to evaluate the performance of the proposed framework, we derive analytical expressions for the outage probability and the ergodic rate of MIMO-NOMA enhanced UAV networks. We examine tractable upper bounds for the whole proposed framework, with deriving asymptotic results for scenarios that transmit power of interference sources being proportional or being fixed to the UAV. For obtaining more insights for the proposed framework, we investigate the diversity order and high signal-to-noise (SNR) slope of MIMO-NOMA assisted UAV networks. Our results confirm that: i) The outage probability of NOMA enhanced UAV networks is affected to a large extent by the targeted transmission rates and power allocation factors of NOMA users; and ii) For the case that the interference power is proportional to the UAV power, there are error floors for the outage probabilities. Index TermsMIMO, non-orthogonal multiple access, signal alignment, stochastic geometry, unmanned aerial vehicles.

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Section: A Motivations and Related Workmentioning

confidence: 99%

Multiple Antenna Aided NOMA in UAV Networks: A Stochastic Geometry Approach

Hou

Liu

Song

et al. 2019

IEEE Trans. Commun.

Self Cite

154

View full text Add to dashboard Cite

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“…ANALYSIS To obtain more insights, in this section we analyze the asymptotic SOP in the higher SINR regime. Similar to [29] and [30], we assume that Ω 2 → ∞, Ω 1 = ε 1 Ω 2 (ε 1 > 1) 4 , and Ω R = ε 2 Ω 2 , where ε 1 and ε 2 are constant. The asymptotic SOP is expressed as [51]…”

Section: Asymptotic Secrecy Outage Probabilitymentioning

confidence: 99%

“…where G a and G d denotes the SDO and SAG, which characterize the slope and the SNR advantage of P ∞ out compared with the reference curve Ω −G d 2 , respectively. 4 Since U 1 has better channel condition than U 2 , then we assume ε 1 > 1.…”

Section: Asymptotic Secrecy Outage Probabilitymentioning

confidence: 99%

Secrecy Outage Analysis for Cooperative NOMA Systems With Relay Selection Schemes

Lei

Yang

Park

et al. 2019

IEEE Trans. Commun.

122

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This paper considers the secrecy outage performance of a multiple-relay assisted non-orthogonal multiple access (NOMA) network over Nakagami-m fading channels. Two slots are utilized to transmit signals from the base station to destination. At the first slot, the base station broadcasts the superposition signal of the two users to all decode-and-forward relays by message mapping strategy. Then the selected relay transmits superposition signal to the two users via power-domain NOMA technology. Three relay selection (RS) schemes, i.e., optimal single relay selection (OSRS) scheme, two-step single relay selection (TSRS) scheme, and optimal dual relay selection (ODRS) scheme, are proposed and the secrecy outage performance are analyzed. As a benchmark, we also examine the secrecy outage performance of the NOMA systems with traditional multiple relays combining (TMRC) scheme in which all the relay that successfully decode signals from the source forward signals to the NOMA users with equal power. Considering the correlation between the secrecy capacity of two users and different secrecy requirement for two NOMA users, the closed-form expressions for the security outage probability (SOP) of the proposed OSRS, TSRS, and ODRS schemes along with the TMRC scheme are derived and validated via simulations. To get more insights, we also derive the closedform expressions for the asymptotic SOP for all the schemes with fixed and dynamic power allocations. Furthermore, the secrecy diversity order (SDO) of cooperative NOMA systems is obtained. The results demonstrate that our proposed schemes can significantly enhance the secrecy performance compared to the TMRC scheme and that all the RS schemes with fixed power allocation obtain zero SDO and the OSRS scheme with dynamic power allocation obtains the same SDO as TMRC.

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“…However, in the MISO NOMA systems, it is difficult to know the optimal decoding order. Actually, the optimal decoding order is determined by the product of channel gain and beamforming vector [32]. Note that, in this paper, our focus is not the optimal decoding order and we still assume the decoding order as the ascending order of the channel gains.…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

On Optimal Beamforming Design for Downlink MISO NOMA Systems

Zhu

Wang

Huang

et al. 2020

IEEE Trans. Veh. Technol.

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This work focuses on the beamforming design for downlink multiple-input single-output (MISO) nonorthogonal multiple access (NOMA) systems. The beamforming vectors are designed by solving a total transmission power minimization (TPM) problem with quality-of-service (QoS) constraints. In order to solve the proposed nonconvex optimization problem, we provide an efficient method using semidefinite relaxation. Moreover, for the first time, we characterize the optimal beamforming in a closed form with quasi-degradation condition, which is proven to achieve the same performance as dirtypaper coding (DPC). For the special case with two users, we further show that the original nonconvex TPM problem can be equivalently transferred into a convex optimization problem and easily solved via standard optimization tools. In addition, the optimal beamforming is also characterized in a closed form and we show that it achieves the same performance as the DPC. In the simulation, we show that our proposed optimal NOMA beamforming outperforms OMA schemes and can even achieve the same performance as DPC. Our solutions dramatically simplifies the problem of beamforming design in the downlink MISO NOMA systems and improve the system performance.

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Multiple-Antenna-Assisted Non-Orthogonal Multiple Access

Cited by 140 publications

References 17 publications

Multiple Antenna Aided NOMA in UAV Networks: A Stochastic Geometry Approach

Multiple Antenna Aided NOMA in UAV Networks: A Stochastic Geometry Approach

Secrecy Outage Analysis for Cooperative NOMA Systems With Relay Selection Schemes

On Optimal Beamforming Design for Downlink MISO NOMA Systems

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