Multiple antenna MPA detection for uplink SCMA systems based on selective Gaussian approximation

Kang, Gil-Mo; Kirn, Hyeon Min; Shin, Yoan; Shin, Oh‐Soon

doi:10.23919/apcc.2017.8304024

Cited by 2 publications

(4 citation statements)

References 6 publications

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“…The joint factor graph is constructed, as in Figure 8. Each antenna can be converted into a virtual function node [27] and there are R × K function nodes in one group, which corresponded to R × K rows. Each resource block accommodates 2 × J users, which corresponded to 2 × J columns.…”

Section: Mimo-scma Schemementioning

confidence: 99%

Asynchronous Partial Gaussian Approximation Detection Algorithm for Uplink-Grouped MIMO-SCMA System

2022

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To relieve the impact caused by different arrival times of multiple users in the uplink MIMO-SCMA system, a grouped multiuser transmission model, according to different delays and its corresponding detection scheme, is proposed in this paper. Assuming perfect synchronization in one group, a message-passing algorithm based on serial propagation (SP-MPA) is proposed to reduce the bit error rate (BER), which could transfer the updated information to the next symbol as its initial probability. Furthermore, with a more practical case, the partial Gaussian approximation method (PGA) is designed to decrease the interference resulting from the imperfect synchronization in one group. As the result, the computing complexity of the proposed PGA method could be decreased by at least 20% compared with SP-MPA and the BER could be improved by about 10%.

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Section: Mimo-scma Schemementioning

confidence: 99%

Asynchronous Partial Gaussian Approximation Detection Algorithm for Uplink-Grouped MIMO-SCMA System

2022

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“…The SIC-GenA-MPA method further simplifies the GenA-MPA one by calculating the closest value to the user codewords, and then eliminating the calculated user layer of MPA based on the generalized approximate result. In [127], maximum likelihood (ML) is employed for a selection of FNs while GA-MPA is performed on the remaining ones. The authors in [128] combined matched filtering with iterative GA based detector in an uplink SCMA system.…”

Section: Approximated Distribution Based Algorithmsmentioning

confidence: 99%

“…A straight-forward extension of SCMA factor graph to multiple-antenna case makes the number of resource nodes proportional to the number of antennas, this means that the complexity will respectively increase exponentially. Several research works try to overcome this difficulty [127], [129], [131], [133], [175]- [178]. Figure 21 represents a block diagram of an uplink MIMO-SCMA system when spatial multiplexing techniques is applied.…”

Section: G Mimo-scma Detectorsmentioning

confidence: 99%

“…This will allow a certain tradeoff between performance and complexity when compared to the MPA detector. A similar approach based on an antennasubcarrier subset selection was introduced in [127], the selection method is based on the channel norms. Furthermore, the MIMO-SCMA factor graph can be partitioned into subgraphs by a QR decomposition of the channel matrix such that the number of resource nodes depends only on the number of users sharing each resource, d f , this can reduce the complexity of messages calculation [175].…”

Section: G Mimo-scma Detectorsmentioning

confidence: 99%

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Sparse Code Multiple Access: Potentials and Challenges

Rebhi

Hassan

Raoof

et al. 2021

IEEE Open J. Commun. Soc.

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The massive connectivity is among other unprecedented requirements which are expected to be satisfied in order to follow the perpetual increase of connected devices in the era of internet of things. In contrast to the family of conventional orthogonal multiple access schemes, the key distinguishing feature of non-orthogonal multiple access (NOMA) is its capacity to support the massive connectivity. Sparse code multiple access (SCMA) is one of the powerful schemes of code-domain NOMA (CD-NOMA) and is among the promising candidates of multiple access techniques to be employed in future generations of wireless communication systems thanks to the sparsity pattern of its codebooks. This technique has been actively investigated in recent years. In this paper, we provide a comprehensive survey of the state-of-the-art of SCMA. First, we will pinpoint SCMA place in the NOMA landscape including power-domain NOMA and CD-NOMA with the aim of justifying why SCMA is prominent. Then, its system architecture is highlighted and its basic principles are presented, afterwards a review of exiting codebook designs and available SCMA detectors is provided, before showing how resources are expected to be assigned, and how SCMA can be combined with other existing and emerging technologies. Finally, we present a range of future research trends and challenging open issues that should be addressed to optimize SCMA performance.

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Multiple antenna MPA detection for uplink SCMA systems based on selective Gaussian approximation

Cited by 2 publications

References 6 publications

Asynchronous Partial Gaussian Approximation Detection Algorithm for Uplink-Grouped MIMO-SCMA System

Asynchronous Partial Gaussian Approximation Detection Algorithm for Uplink-Grouped MIMO-SCMA System

Sparse Code Multiple Access: Potentials and Challenges

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