Lattice Partition Multiple Access: A New Method of Downlink Non-Orthogonal Multiuser Transmissions

Dong, Fang; Huang, Yu-Chih; Ding, Zhiguo; Geraci, Giovanni; Shieh, Shin-Lin; Claußen, Holger

doi:10.1109/glocom.2016.7841947

Cited by 66 publications

(43 citation statements)

References 6 publications

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“…In Fig. 2, we evaluate the upper bound of d p,min (η(C −d)) in (17) and the exact values of d p,min (η(C −d)) by computer search for α ∈ [0, 0.5]. The minimum product distance achieved by our scheme based on lattice partition is also plotted.…”

Section: B Main Results Of This Sectionmentioning

confidence: 99%

Downlink Non-Orthogonal Multiple Access Without SIC for Block Fading Channels: An Algebraic Rotation Approach

Qiu

Huang

Yuan

2019

IEEE Trans. Wireless Commun.

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In this paper, we investigate the problem of downlink non-orthogonal multiple access (NOMA) over block fading channels. For the single antenna case, we propose a class of NOMA schemes where all the users' signals are mapped into ndimensional constellations corresponding to the same algebraic lattices from a number field, allowing every user attains full diversity gain with single-user decoding, i.e., no successive interference cancellation (SIC). The minimum product distances of the proposed scheme with arbitrary power allocation factor are analyzed and their upper bounds are derived. Within the proposed class of schemes, we also identify a special family of NOMA schemes based on lattice partitions of the underlying ideal lattices, whose minimum product distances can be easily controlled. Our analysis shows that among the proposed schemes, the lattice-partition-based schemes achieve the largest minimum product distances of the superimposed constellations, which are closely related to the symbol error rates for receivers with singleuser decoding. Simulation results are presented to verify our analysis and to show the effectiveness of the proposed schemes as compared to benchmark NOMA schemes. Extensions of our design to the multi-antenna case are also considered where similar analysis and results are presented.

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Section: B Main Results Of This Sectionmentioning

confidence: 99%

Downlink Non-Orthogonal Multiple Access Without SIC for Block Fading Channels: An Algebraic Rotation Approach

Qiu

Huang

Yuan

2019

IEEE Trans. Wireless Commun.

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“…where α m and α n denote the NOMA power allocation coefficients, and P ow denotes the user's transmit power 3 .…”

Section: A Impact Of Noma On Offloading Latencymentioning

confidence: 99%

“…Non-orthogonal multiple access (NOMA) has been viewed as a key enabling technology in next-generation wireless networks due to its superior spectral efficiency [1]. On the one hand, the principle of NOMA brings fundamental changes to the design of future multiple access techniques [2], [3]. In particular, compared to conventional orthogonal multiple access (OMA) which allocates orthogonal bandwidth resource blocks to users, NOMA encourages the users to share the same spectrum, where multiple access interference is handled by applying advanced transceiver designs, such as superposition coding and successive interference cancellation (SIC).…”

Section: Introductionmentioning

confidence: 99%

Impact of Non-Orthogonal Multiple Access on the Offloading of Mobile Edge Computing

Ding

Fan

Poor

2019

IEEE Trans. Commun.

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222

119

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This paper considers the coexistence of two important communication techniques, non-orthogonal multiple access (NOMA) and mobile edge computing (MEC). Both NOMA uplink and downlink transmissions are applied to MEC, and analytical results are developed to demonstrate that the use of NOMA can efficiently reduce the latency and energy consumption of MEC offloading. In addition, various asymptotic studies are carried out to reveal the impact of the users' channel conditions and transmit powers on the application of NOMA to MEC is quite different to those in conventional NOMA scenarios. Computer simulation results are also provided to facilitate the performance evaluation of NOMA-MEC and also verify the accuracy of the developed analytical results.

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“…Multiple-domain NOMA superimposes multiple users in multiple domain, such as the power domain, the code domain, and the spatial domain [9]. Pattern division multiple access (PDMA) [25] and lattice partition multiple access (LPMA) [26] are two examples of this type of NOMA. In PDMA, similar to SCMA, the users spread their data over their preassigned REs in a sparse manner.…”

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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Lattice Partition Multiple Access: A New Method of Downlink Non-Orthogonal Multiuser Transmissions

Cited by 66 publications

References 6 publications

Downlink Non-Orthogonal Multiple Access Without SIC for Block Fading Channels: An Algebraic Rotation Approach

Downlink Non-Orthogonal Multiple Access Without SIC for Block Fading Channels: An Algebraic Rotation Approach

Impact of Non-Orthogonal Multiple Access on the Offloading of Mobile Edge Computing

Multidimensional Constellations for Uplink SCMA Systems—A Comparative Study

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