Low-Complexity Iterative SIC-MMSE Detection for Massive MIMO Systems 


Vol. 44,  No. 3, pp. 498-504, Mar.  2019
10.7840/kics.2019.44.3.498


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  Abstract

This paper proposes an efficient soft iterative detection technique for massive multi-input multi-output systems, where the number of receive antennas is greater than that of transmit antennas. The proposed technique adopts minimum mean squared error (MMSE) based detection schemes, and the computational complexity is reduced by replacing the complex matrix inverse operation with a few dominant terms of the Neumann series. This paper presented a method to tailor this complexity reduction technique to a three-loop joint iterative detection for a coded massive MIMO system, and the complexity is efficiently reduced by using the channel characteristics of massive MIMO systems. The simulation results demonstrated in this paper reveal that the proposed method provides approximating performance to the conventional scheme with much less computational complexity.

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  Cite this article

[IEEE Style]

S. Chan, Z. Fu, S. Kim, "Low-Complexity Iterative SIC-MMSE Detection for Massive MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 3, pp. 498-504, 2019. DOI: 10.7840/kics.2019.44.3.498.

[ACM Style]

Satya Chan, Zhilin Fu, and Sooyoung Kim. 2019. Low-Complexity Iterative SIC-MMSE Detection for Massive MIMO Systems. The Journal of Korean Institute of Communications and Information Sciences, 44, 3, (2019), 498-504. DOI: 10.7840/kics.2019.44.3.498.

[KICS Style]

Satya Chan, Zhilin Fu, Sooyoung Kim, "Low-Complexity Iterative SIC-MMSE Detection for Massive MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 3, pp. 498-504, 3. 2019. (https://doi.org/10.7840/kics.2019.44.3.498)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880