A Novel Uplink NOMA Scheme Based on Low Density Superposition Modulation

Jiang, Chengxin; Wu, Ziyan

doi:10.1109/vtcfall.2017.8288399

Cited by 14 publications

(10 citation statements)

References 12 publications

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“…Unfortunately, few works really consider the modulation design of improving the SWIPT performance. There have been a number of works studying the modulation design in NOMA aided WIT systems [26]- [27]. Furthermore, Liu et al [28] proposed a beneficial amalgamation of the spatial modulation and the sparse code-division multipleaccess (SCDMA), which is capable of supporting a very high user-load by exploiting the multiplexing gains provided by the multiple antennas and the non-orthogonality of the SCDMA.…”

Section: B Related Workmentioning

confidence: 99%

Joint Interleaver and Modulation Design For Multi-User SWIPT-NOMA

Zhao

Ding

et al. 2019

IEEE Trans. Commun.

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Radio frequency (RF) signals can be relied upon for conventional wireless information transfer (WIT) and for challenging wireless power transfer (WPT), which triggers the significant research interest in the topic of simultaneous wireless information and power transfer (SWIPT). By further exploiting the advanced non-orthogonal-multiple-access (NOMA) technique, we are capable of improving the spectrum efficiency of the resource-limited SWIPT system. In our SWIPT system, a hybrid access point (H-AP) superimposes the modulated symbols destined to multiple WIT users by exploiting the power-domain NOMA, while WPT users are capable of harvesting the energy carried by the superposition symbols. In order to maximise the amount of energy transferred to the WPT users, we propose a joint design of the energy interleaver and the constellation rotation based modulator in the symbol-block level by constructively superimposing the symbols destined to the WIT users in the power domain. Furthermore, a transmit power allocation scheme is proposed to guarantee the symbol-error-ratio (SER) of all the WIT users. By considering the sensitivity of practical energy harvesters, the simulation results demonstrate that our scheme is capable of substantially increasing the WPT performance without any remarkable degradation of the WIT performance.

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Section: B Related Workmentioning

confidence: 99%

Joint Interleaver and Modulation Design For Multi-User SWIPT-NOMA

Zhao

Ding

et al. 2019

IEEE Trans. Commun.

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“…The formulated optimization problem can be written as According to [20], [23], the AMI of per unit of bandwidth can be written as (22), which can be found in the following page, where K is the number of subcarriers, p m is the probability of the m-th codeword of the non-equiprobable codebook, J is the number of users, M is the codebook size and E [•] denotes expectation. P(X) in (22) is a modification to the AMI of non-equiprobable SCMA codebook, and…”

Section: The Ami Analysis and The Joint Bbpso Algorithm Based On mentioning

confidence: 99%

An Uplink SCMA Codebook Design Combining Probabilistic Shaping and Geometric Shaping

Jiang

Wang

2020

IEEE Access

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Sparse Code Multiple Access (SCMA) is a promising non-orthogonal multiple access scheme owning to the shaping gain of its multi-dimensional codebook. Most of the existing designs of the codebook are based on geometric shaping (GS), while probabilistic shaping (PS) has important advantages in increasing channel capacity and reducing bit error rate. In this paper, an uplink SCMA codebook optimization algorithm which combines PS and GS is proposed. The algorithm adopts the bare bones particle swarm optimization algorithm based on maximizing the AMI. Based on the non-equiprobable codebook, a message passing algorithm with non-equalprobable distribution is introduced as the multiuser detection algorithm for SCMA scheme. We theoretically analyze the superiority of the codebooks combining PS and GS over others in terms of the average mutual information (AMI). Simulation results show that our proposed codebooks outperform the reference GS based codebooks under different overloading, different channels and different codebook sizes, and with the increase of overloading or codebook sizes, the gains are greater, which is up to 2.1dB gain in terms of block error rate performance. This observation also validates the theoretical analysis based on the AMI. INDEX TERMS SCMA, codebook, probabilistic shaping (PS), geometric shaping (GS), average mutual information (AMI).

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“…To combat the multi-user superimposed interference, many NOMA schemes based sparse signature matrix have been proposed, such as low-density spreading (LDS) [5,6], pattern division multiple access (PDMA) [7], sparse code multiple access (SCMA) [8], low density superposition modulation (LDSM) [9] and so on. The signals of users are mapped to the resource element (RE) by the sparse signature matrix.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, there may be a short cycle in the low dimension NOMA sparse signature matrix, which affects the accuracy of iterative detection. [9] proposes a new LDSM scheme with a large dimension sparse signature matrix. The large dimension sparse signature matrix generally has a larger girth, so its iterative detection accuracy is higher than the low dimension matrix.…”

Section: Introductionmentioning

confidence: 99%

Sparse Signature Matrix Optimization for NOMA under Imperfect CSI

Yang

2021

Preprint

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Non-orthogonal multiple access (NOMA) can support the rapid development of the Internet of Things (IoT) with its potential to support high spectral efficiency and massive connectivity. The low-density superposition modulation (LDSM) scheme is one of the NOMA schemes and uses the sparse signature matrix to reduce multiple access interferences (MAI). In order to improve the NOMA system performance in practice, this paper focuses on designing the sparse signature matrix with a large girth for LDSM under imperfect channel state information (CSI). Based on the orthogonal pilot and linear minimum mean square error (LMMSE) estimation, the LDSM optimized by bare-bone particle swarm optimization (BBPSO) algorithm has a larger girth and can gather more accurate information in the process of iterative decoding convergence. An extrinsic information transfer (EXIT) chart analysis is designed for the LDSM-OFDM system as a theoretical analysis tool. The simulation results show that the optimized LDSM outperforms the reference LDSM system, bringing about a 0.5 dB performance gain.

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A Novel Uplink NOMA Scheme Based on Low Density Superposition Modulation

Cited by 14 publications

References 12 publications

Joint Interleaver and Modulation Design For Multi-User SWIPT-NOMA

Joint Interleaver and Modulation Design For Multi-User SWIPT-NOMA

An Uplink SCMA Codebook Design Combining Probabilistic Shaping and Geometric Shaping

Sparse Signature Matrix Optimization for NOMA under Imperfect CSI

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