Low-Complexity Detector in Sparse Code Multiple Access Systems

Du, Yang; Dong, Binhong; Chen, Zhi; Fang, Jun; Gao, Pengyu; Liu, Zeyuan

doi:10.1109/lcomm.2016.2592912

Cited by 38 publications

(35 citation statements)

References 9 publications

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“…The MPA algorithm is the main detection algorithm of the SCMA system [41]; it updates information of sensor nodes and resource nodes by a factor graph [42]. In this paper, the sensor node is regarded as the variable method node VN, and the resource block is regarded as the function node FN.…”

Section: Mpa Algorithmmentioning

confidence: 99%

A Multi-Node Detection Algorithm Based on Serial and Threshold in Intelligent Sensor Networks

Zhang

Zhao

et al. 2020

Sensors

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With the continuous progress of science and technology, intelligent wireless sensor network (IWSN) communication has become indispensable in its role in production and life because of its convenient network settings and flexible use. However, with the widespread availability of intelligent wireless sensor networks, the use of many wireless sensor nodes constitutes a multi-node wireless communication system, which turns the accuracy and low complexity of multi-node detection in sensor networks into a problem. Although the traditional algorithm has excellent performance, it cannot give consideration to both accuracy and complexity. Therefore, a maximum logarithm message passing algorithm based on serial and threshold (S-T-Max-log-MPA) for multi-mode detection in IWSN is proposed in this paper. In this algorithm, the threshold is used to determine the necessary conditions of sensor node stability first, and then the sensor node information updating is integrated into the resource node information updating, so that the system can maintain good accuracy, performance, and change the situation of poor system accuracy at low threshold. Compared with the traditional algorithm, the proposed algorithm significantly changes the algorithm complexity reduction rate of the system multi-node detection. Simulation results show that the algorithm has a good balance between accuracy and complexity reduction rate.

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Section: Mpa Algorithmmentioning

confidence: 99%

A Multi-Node Detection Algorithm Based on Serial and Threshold in Intelligent Sensor Networks

Zhang

Zhao

et al. 2020

Sensors

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“…Following the on-line DT method, the triangulations of two initial point subsets A 1 b and A 2 b are constructed, denoted by D 1 and D 2 . As shown in Phase 1, points are added into two subsets in sequence (line 4,14,18,22). In each FPO iteration, for each vertex A l ∈ D 1 , the minimum distance between A l and 4 Different from the researches on point distribution generating [20], we cannot generate new points in the given set, and thus, we redefine the farthest position as the farthest position in the existing points of the set.…”

Section: B Joint Encodingmentioning

confidence: 99%

“…Given the encoder states s (k) [t − 1] |1 ≤ k ≤ K in time unit t − 1, if K code sequences in time unit t are correctly estimated, then the following condition is satisfied: (18) in which the kit of data sequences (16). For convenience, we denote a kit of code sequences aŝ…”

Section: Propositionmentioning

confidence: 99%

“…The sets of candidate output coded sequences and input bit sequences are selected and temporally stored given the received signal y (k) [t]. We then perform the outer layer soft-decision Viterbi operation (line [10][11][12][13][14][15][16][17][18][19][20] in which the set of qualified branches satisfying Proposition 2 is selected based on the candidate coded sequences and bit sequences. By sorting the path lengths with respect to these selected branches, we update up to λ survivor paths and super encoder states in time unit t with the shortest path lengths (line [19][20].…”

Section: B Joint Decoding Scheme Designmentioning

confidence: 99%

“…Note that in a practical NOMA scheme, we usually set qd f ≤ 6 such that the complexity is tolerable. • Searching for qualified branches (line [10][11][12][13][14][15] is directly influenced by the radius parameter a and σ 2 in (22), as will be discussed in Section V. • Updating survivor paths (line [16][17][18][19][20]: Suppose that the number of qualified branches 7 given a super encoder state…”

mentioning

confidence: 99%

See 2 more Smart Citations

TCM-NOMA: Joint Multi-User Codeword Design and Detection in Trellis-Coded Modulation-Based NOMA for Beyond 5G

Song

et al. 2019

IEEE J. Sel. Top. Signal Process.

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In this paper, we propose a novel non-orthogonal multiple access (NOMA) scheme based on trellis-coded modulation (TCM). Different from those in the traditional codedomain NOMA, the incoming data streams of multiple users are jointly coded and mapped to the codewords so as to improve the coding gain of the system without any bandwidth extension. Both codeword design and multi-user detection are considered to optimize the TCM for NOMA. The multi-dimensional (MD) constellation is carefully selected and a new set partitioning algorithm is developed for MD signal set labeling. To achieve the trade-off between the BER performance and complexity, a suboptimal two-layer Viterbi algorithm is proposed for joint decoding. Simulation results show that our proposed TCM-based NOMA scheme performs significantly better than the traditional code-domain NOMA and OFDMA schemes in terms of the BER performance under the same channel conditions.

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Two Stage Detection for Uplink Massive MIMO MU-SCMA Systems

Zhu

Weng

et al. 2019

Communications and Networking

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Low-Complexity Detector in Sparse Code Multiple Access Systems

Cited by 38 publications

References 9 publications

A Multi-Node Detection Algorithm Based on Serial and Threshold in Intelligent Sensor Networks

A Multi-Node Detection Algorithm Based on Serial and Threshold in Intelligent Sensor Networks

TCM-NOMA: Joint Multi-User Codeword Design and Detection in Trellis-Coded Modulation-Based NOMA for Beyond 5G

Two Stage Detection for Uplink Massive MIMO MU-SCMA Systems

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