Abstract
In this paper, we propose a two stage multiuser detection scheme: a linear pre-filtering and iteration removal based message passing algorithm (RM-MPA). As the first stage of the proposed detection, a linear pre-filtering based on Richardson method is proposed to avoid the complicated matrix inversion in an iterative way. Meanwhile, we also present a sub-optimum relaxation parameter to Richardson for lower-complexity. Then the RM-MPA is used for multiuser decoding, which compared the decoding advantages of users and sorted users according to decoding advantages. After the each iteration, the users with higher decoding advantages directly are decoded and removed. The removed users do not participate in the subsequent iterations, therefore, the complexity of subsequent iterations decrease gradually. Simulation results show that the proposed two stages multiuser detection can significantly reduce the computational complexity with better symbol error rate performance.
This work was partially supported by the National Natural Science Foundation of China under grant No. 61671483 and the Natural Science Foundation of Hubei province under grant No. 2016CFA089.
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References
Dai, L., Wang, B., Yuan, Y., Han, S., Chih-Lin, I., Wang, Z.: Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends. IEEE Commun. Mag. 53(9), 74–81 (2015)
Liu, T.T., Li, X.M., Qiu, L.: Capacity for downlink massive MIMO MU-SCMA system. In: Proceedings of the IEEE WCSP, pp. 1–5. Nanjing, China (2015)
Du, Y., Dong, B.H., Chen, Z., Fang, J., Wang, X.J.: A fast convergence multiuser detection scheme for uplink SCMA systems. IEEE Wirel. Commun. Lett. 5(4), 388–391 (2016)
Du, Y., et al.: Low-complexity detector in sparse code multiple access systems. IEEE Commun. Lett. 20(9), 1812–1815 (2016)
Du, Y., Dong, B., Chen, Z., Fang, J., Yang, L.: Shuffled multiuser detection schemes for uplink sparse code multiple access systems. IEEE Commun. Lett. 20(6), 1231–1234 (2016)
Du, Y., Dong, B., Chen, Z., Fang, J., Gao, P., Liu, Z.: Low-complexity detector in sparse code multiple access sytems. IEEE Commun. Lett. 20(9), 1812–1815 (2016)
Wei, F., Chen, W.: Low complexity iIterative receiver design for sparse code multiple access. IEEE Trans. Commun. 65(2), 621–634 (2016)
Tian, L., Zhao, M., Zhong, J., Wen, L.: Resource-selection based low complexity detector for uplink SCMA systems with multiple antennas. IEEE Wirel. Commun. Lett. (2017)
Bjorck, A.: Numerical Methods in Matrix Computations. Texts in Applied Mathematics (2015)
Bai Z.D.: Methodologies in spectral analysis of large dimensional random matrices, a review[m]// Advances In Statistics. (2015)
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhu, C., Wei, N., Li, Z., Wang, H. (2019). Two Stage Detection for Uplink Massive MIMO MU-SCMA Systems. In: Liu, X., Cheng, D., Jinfeng, L. (eds) Communications and Networking. ChinaCom 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-06161-6_41
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DOI: https://doi.org/10.1007/978-3-030-06161-6_41
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