Blind detection of SCMA for uplink grant-free multiple-access

Bayesteh, Alireza; Yi, Eric; Nikopour, Hosein; Baligh, Hadi

doi:10.1109/iswcs.2014.6933472

Cited by 166 publications

(85 citation statements)

References 5 publications

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“…By contrast, at the receiver blind detection and compressive sensing (CS) techniques can be used for performing joint activity and data detection [91]. Hence again, beneficial grant-free uplink transmission can be realized in NOMA, which is capable of significantly reducing both the transmission latency and the signaling overhead.…”

Section: B Advantages Of Noma Compared To Omamentioning

confidence: 99%

See 1 more Smart Citation

A Survey of Non-Orthogonal Multiple Access for 5G

Dai

Wang

Ding

et al. 2018

IEEE Commun. Surv. Tutorials

1,132

664

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Abstract-In the 5th generation (5G) of wireless communication systems, hitherto unprecedented requirements are expected to be satisfied. As one of the promising techniques of addressing these challenges, non-orthogonal multiple access (NOMA) has been actively investigated in recent years. In contrast to the family of conventional orthogonal multiple access (OMA) schemes, the key distinguishing feature of NOMA is to support a higher number of users than the number of orthogonal resource slots with the aid of non-orthogonal resource allocation. This may be realized by the sophisticated inter-user interference cancellation at the cost of an increased receiver complexity. In this article, we provide a comprehensive survey of the original birth, the most recent development, and the future research directions of NOMA. Specifically, the basic principle of NOMA will be introduced at first, with the comparison between NOMA and OMA especially from the perspective of information theory. Then, the prominent NOMA schemes are discussed by dividing them into two categories, namely, power-domain and code-domain NOMA. Their design principles and key features will be discussed in detail, and a systematic comparison of these NOMA schemes will be summarized in terms of their spectral efficiency, system performance, receiver complexity, etc. Finally, we will highlight a range of challenging open problems that should be solved for NOMA, along with corresponding opportunities and future research trends to address these challenges.

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Section: B Advantages Of Noma Compared To Omamentioning

confidence: 99%

“…Then a random back-off procedure can be invoked, when collisions occur. At the receiver, blind detection and compressive sensing (CS) techniques can be used for performing joint activity and data detection, e,g., with the aid of the joint message passing ... algorithm (JMPA) of [91].…”

Section: ) Sparse Code Multiple Access (Scma)mentioning

confidence: 99%

A Survey of Non-Orthogonal Multiple Access for 5G

Dai

Wang

Ding

et al. 2018

IEEE Commun. Surv. Tutorials

1,132

664

View full text Add to dashboard Cite

show abstract

“…In addition to CS, the user activity detection could be realized by different algorithms and schemes. For example, focal underdetermined system solver (FOCUSS) and expectation maximization (EM) are proposed and analyzed for active pilot detection [85], and they can be combined with the blind data detection method, i.e., joint data and active codebook detection (JMPA), to recover the data in the spreadingbased grant-free systems. It is seen that JMPA can achieve scarcely any performance degradation in decoding users' data without prior knowledge of active codebooks.…”

Section: Detection Techniquesmentioning

confidence: 99%

Uplink Nonorthogonal Multiple Access Technologies Toward 5G: A Survey

Han

Zhao

et al. 2018

Wireless Communications and Mobile Computing

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Owing to the superior performance in spectral efficiency, connectivity, and flexibility, nonorthogonal multiple access (NOMA) is recognized as the promising access protocol and is now undergoing the standardization process in 5G. Specifically, dozens of NOMA schemes have been proposed and discussed as the candidate multiple access technologies for the future radio access networks. This paper aims to make a comprehensive overview about the promising NOMA schemes. First of all, we analyze the state-of-the-art NOMA schemes by comparing the operations applied at the transmitter. Typical multiuser detection algorithms corresponding to these NOMA schemes are then introduced. Next, we focus on grant-free NOMA, which incorporates the NOMA techniques with uplink uncoordinated access and is expected to address the massive connectivity requirement of 5G. We present the motivation of applying grant-free NOMA, as well as the typical grant-free NOMA schemes and the detection techniques. In addition, this paper discusses the implementation issues of NOMA for practical deployment. Finally, we envision the future research challenges deduced from the recently proposed NOMA technologies.

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“…In order to reduce transmission latency and signaling, grantfree transmission is highly expected in uplink NOMA systems, where users can randomly transmit data without the complex scheduling procedure [1] [4]. However, in grant-free NOMA systems, the base station (BS) cannot obtain the user activity information before data transmission, which implies that user activity has to be detected in the grant-free NOMA systems.…”

Section: Introductionmentioning

confidence: 99%

“…Some investigations have been done to realize user activity detection. Specifically, a blind detection of sparse code multiple access (SCMA) was proposed in [4], which could jointly realize user activity detection and channel estimation by sending pilots. A multi-user detection (MUD) method realized by switching between one of the typical compressive sensing (CS) reconstruction algorithms, i.e., orthogonal matching pursuit (OMP) algorithm [5], and one of the classical linear signal detection algorithms, i.e., linear minimum mean square error (LMMSE), was proposed in [6].…”

Section: Introductionmentioning

confidence: 99%

Joint User Activity and Data Detection Based on Structured Compressive Sensing for NOMA

et al. 2016

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Non-orthogonal multiple access (NOMA) has been regarded as one of the promising key technologies for future 5G systems. In the uplink grant-free NOMA schemes, dynamic scheduling is not required, which can significantly reduce the signaling overhead and transmission latency. However, user activity has to be detected in grant-free NOMA systems, which is challenging in practice. In this paper, by exploiting the inherent structured sparsity of user activity naturally existing in NOMA systems, we propose a low-complexity multi-user detector based on structured compressive sensing (SCS) to realize joint user activity and data detection. Particularly, we propose a structured iterative support detection (SISD) algorithm by exploiting such structured sparsity, which is able to jointly detect user activity and transmitted data in several continuous time slots. Simulation results show that the proposed scheme can achieve better performance than conventional solutions.Index Terms-5G, non-orthogonal multiple access (NOMA), multi-user detection (MUD), structured compressive sensing (SC-S).

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Blind detection of SCMA for uplink grant-free multiple-access

Cited by 166 publications

References 5 publications

A Survey of Non-Orthogonal Multiple Access for 5G

A Survey of Non-Orthogonal Multiple Access for 5G

Uplink Nonorthogonal Multiple Access Technologies Toward 5G: A Survey

Joint User Activity and Data Detection Based on Structured Compressive Sensing for NOMA

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