Toward the Standardization of Non-Orthogonal Multiple Access for Next Generation Wireless Networks

Chen, Yan; Bayesteh, Alireza; Wu, Yiqun; Ren, Bin; Kang, Shaoli; Sun, Shaojun; Xiong, Qi; Chen, Qian; Yu, Bin; Ding, Zhiguo; Wang, Sen; Han, Shuangfeng; Hou, Xiaolin; Lin, Hao; Visoz, Raphaël; Razavi, Razieh

doi:10.1109/mcom.2018.1700845

Cited by 158 publications

(102 citation statements)

References 13 publications

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“…To provide some insights, in the following theorem, we consider an asymptotically tight upper bound for the achievable sum-rate in (21) associated with K → ∞. 9 The derivation of individual rates in (20) for MMSE-SIC detection of MIMO-NOMA is based on the matrix inversion lemma:…”

Section: Esgmentioning

confidence: 99%

On the Performance Gain of NOMA Over OMA in Uplink Communication Systems

Wei

Yang

et al. 2020

IEEE Trans. Commun.

182

112

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In this paper, we investigate and reveal the ergodic sum-rate gain (ESG) of non-orthogonal multiple access (NOMA) over orthogonal multiple access (OMA) in uplink cellular communication systems. A base station equipped with a single-antenna, with multiple antennas, and with massive antenna arrays is considered both in single-cell and multi-cell deployments. In particular, in single-antenna systems, we identify two types of gains brought about by NOMA: 1) a large-scale near-far gain arising from the distance discrepancy between the base station and users; 2) a small-scale fading gain originating from the multipath channel fading. Furthermore, we reveal that the large-scale near-far gain increases with the normalized cell size, while the small-scale fading gain is a constant, given by γ = 0.57721 nat/s/Hz, in Rayleigh fading channels. When extending single-antenna NOMA to M -antenna NOMA, we prove that both the large-scale near-far gain and small-scale fading gain achieved by single-antenna NOMA can be increased by a factor of M for a large number of users. Moreover, given a massive antenna array at the base station and considering a fixed ratio between the number of antennas, M , and the number of users, K, the ESG of NOMA over OMA increases linearly with both M and K. We then further extend the analysis to a multi-cell scenario. Compared to the single-cell case, the ESG in multicell systems degrades as NOMA faces more severe inter-cell interference due to the non-orthogonal transmissions. Besides, we unveil that a large cell size is always beneficial to the ergodic sum-rate performance of NOMA in both single-cell and multi-cell systems. Numerical results verify the accuracy of the analytical results derived and confirm the insights revealed about the ESG of NOMA over OMA in different scenarios.

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Section: Esgmentioning

confidence: 99%

On the Performance Gain of NOMA Over OMA in Uplink Communication Systems

Wei

Yang

et al. 2020

IEEE Trans. Commun.

182

112

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“…13(b) that any particular θ k value does not alter either range or distribution of the distance d k . As a result, (16) can be manipulated as…”

Section: Effect Of User Ordering On Angle/distance Distributionsmentioning

confidence: 99%

Angle Feedback for NOMA Transmission in mmWave Drone Networks

Rupasinghe

Yapıcı

Güvenç

et al. 2019

IEEE J. Sel. Top. Signal Process.

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In this paper, we consider an unmanned aerial vehicle (UAV) based wireless network using non-orthogonal multiple access (NOMA) transmission in millimeter-wave frequencies to deliver broadband data in a spectrally efficient fashion at hotspot scenarios. The necessity for the NOMA transmitter to gather information on user channel quality becomes a major drawback in practical deployments. We therefore consider various limited feedback schemes for NOMA transmission, to relieve the complexity of tracking and feeding back the full channel state information (CSI) of the users. In particular, through beamforming we allow NOMA to exploit the space domain, and hence the user angle emerges as a promising (yet novel) limited feedback scheme. We show that as the user region for NOMA transmission gets wider, the users become more distinctive at the transmitter side with respect to their angles, making user angle feedback a better alternative than distance feedback in such scenarios. We rigorously derive and analyze the outage sum rate performance for NOMA transmission considering various user ordering strategies involving full CSI, angle, and distance feedback schemes. Our analytical results for NOMA outage sum rates using those feedback schemes match closely with simulations, and provide useful insights on properly choosing a limited feedback scheme for different deployment geometries and operating configurations.

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“…That is, 1G operates with frequency division multiple access (FDMA), 2G with time division multiple access (TDMA), 3G with code division multiple access (CDMA), and 4G with orthogonal frequency division multiple access (OFDMA). FDMA, TDMA, CDMA, and OFDMA are generally orthogonal multiple access (OMA) schemes, wherein orthogonal resources (time, frequency, or code) are allocated This work is supported in part by an Ontario Trillium Scholarship, and in part by Huawei Canada Co., Ltd to different users to avoid the interference among them 1 [1], [2]. However, to provide even higher spectral efficiency, future wireless systems are likely to employ non-orthogonal multiple access (NOMA) [3]- [6].…”

Section: Introductionmentioning

confidence: 99%

“…The N-dimensional complex codewordṽ i,k is a sparse vector with d v N non-zero entries, and is selected from an N-dimensional sparse codebook, V k , of size M. In other words, V k is an N × M sparse matrix, and V k = F k X k . 3 2 From now on, the terms "d v -dimensional complex constellation", "2d vdimensional real constellation", and "multidimensional constellation" are used interchangeably. 3 To clarify, an SCMA multidimensional constellation point is a d vdimensional complex constellation point without the effect of the user-to-RE mapping matrix.…”

Section: Introductionmentioning

confidence: 99%

Multidimensional Constellations for Uplink SCMA Systems—A Comparative Study

Vameghestahbanati

Marsland

Gohary

et al. 2019

IEEE Commun. Surv. Tutorials

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Sparse code multiple access (SCMA) is a class of non-orthogonal multiple access (NOMA) that is proposed to support uplink machine-type communication services. In an SCMA system, designing multidimensional constellation plays an important role in the performance of the system. Since the behavior of multidimensional constellations highly depends on the type of the channel, it is crucial to employ a constellation that is suitable for a certain application. In this paper, we first highlight and review the key performance indicators (KPIs) of multidimensional constellations that should be considered in their design process for various channel scenarios. We then provide a survey on the known multidimensional constellations in the context of SCMA systems with their design criteria. The performance of some of those constellations are evaluated for uncoded, high-rate, and low-rate LTE turbo-coded SCMA systems under different channel conditions through extensive simulations. All turbo-coded comparisons are performed for bit-interleaved coded modulation, with a concatenated detection and decoding scheme. Simulation results confirm that multidimensional constellations that satisfy KPIs of a certain channel scenario outperform others. Moreover, the bit error rate performance of uncoded systems, and the performance of the coded systems are coupled to their bit-labeling. The performance of the systems also remarkably depends on the behavior of the multi-user detector at different signal-to-noise ratio regions.Index Terms-Non-orthogonal multiple access (NOMA), Sparse code multiple access (SCMA), low density spreading (LDS), multidimensional constellation, SCMA codebook, fading channels, message passing algorithm (MPA), bit-interleaved coded modulation (BICM), key performance indicators (KPIs).

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Toward the Standardization of Non-Orthogonal Multiple Access for Next Generation Wireless Networks

Cited by 158 publications

References 13 publications

On the Performance Gain of NOMA Over OMA in Uplink Communication Systems

On the Performance Gain of NOMA Over OMA in Uplink Communication Systems

Angle Feedback for NOMA Transmission in mmWave Drone Networks

Multidimensional Constellations for Uplink SCMA Systems—A Comparative Study

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