Multiuser detection algorithm based on belief propagation in multiple-input multiple-output systems |
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Authors: | Email author" target="_blank">Jiang?Wei?Email author Xiang?Haige |
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Affiliation: | Department of Electronics, Peking University, Beijing 100871, China |
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Abstract: | In MIMO (multiple-input, multiple-output) systems, signals from different
transmitting antennas interfere at each receiving antenna and multiuser detection (MUD)
algorithms may be adopted to improve the system performance. This paper proposes a
novel multiuser detection algorithm in MIMO systems based on the idea of "belief
propagation" which has achieved great accomplishment in decoding of low-density
parity-check codes. The proposed algorithm has a low computation complexity
proportional to the square of transmitting/receiving antenna number. Simulation results
show that under low signal-to-noise ratio (SNR) circumstances, the proposed algorithm
outperforms the traditional linear minimum mean square error (MMSE) detector while it
encounters a "floor' of bit error rate under high SNR circumstances. So the proposed
algorithm is applicable to MIMO systems with channel coding and decoding. Although in
this paper the proposed algorithm is derived in MIMO systems, obviously it can be applied
to ordinary code-division multiple access (CDMA) systems. |
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Keywords: | multiple-input multiple-output belief propagation multiuser detection |
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