Performance Analysis of Signal Detection Based on Message Passing Algorithm in Uplink Sparse Code Multiple Access Systems With Multiple Antennas 


Vol. 43,  No. 3, pp. 497-505, Mar.  2018
10.7840/kics.2018.43.3.497


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  Abstract

Sparse code multiple access (SCMA) is a promising non-orthogonal multiple access (NOMA) technology for next generation communication systems. The sparsity of SCMA codebooks allows the receiver to take advantage of low-complexity signal detection based on message passing algorithm (MPA) with near maximum likelihood performance. In this paper, we investigate the original MPA detection and Gaussian approximation based MPA detection in an uplink SCMA system with multiple antennas at the base station. We analyze and compare the computational complexity of the two schemes in terms of the number of antennas and the number of users. The BER performance is also compared by simulations.

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  Cite this article

[IEEE Style]

G. Kang, H. M. Kim, Y. Shin, O. Shin, "Performance Analysis of Signal Detection Based on Message Passing Algorithm in Uplink Sparse Code Multiple Access Systems With Multiple Antennas," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 3, pp. 497-505, 2018. DOI: 10.7840/kics.2018.43.3.497.

[ACM Style]

Gil-Mo Kang, Hyeon Min Kim, Yoan Shin, and Oh-Soon Shin. 2018. Performance Analysis of Signal Detection Based on Message Passing Algorithm in Uplink Sparse Code Multiple Access Systems With Multiple Antennas. The Journal of Korean Institute of Communications and Information Sciences, 43, 3, (2018), 497-505. DOI: 10.7840/kics.2018.43.3.497.

[KICS Style]

Gil-Mo Kang, Hyeon Min Kim, Yoan Shin, Oh-Soon Shin, "Performance Analysis of Signal Detection Based on Message Passing Algorithm in Uplink Sparse Code Multiple Access Systems With Multiple Antennas," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 3, pp. 497-505, 3. 2018. (https://doi.org/10.7840/kics.2018.43.3.497)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880