期刊
ELECTRONICS LETTERS
卷 50, 期 18, 页码 1326-+出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/el.2014.0713
关键词
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资金
- National Key Basic Research Program of China [2013CB329203]
- National Natural Science Foundation of China [61201185]
- Science and Technology Foundation for Beijing Outstanding Doctoral Dissertation [2012T50093]
- ZTE fund project [CON1307250001]
The minimum mean square error (MMSE) signal detection algorithm is near-optimal for uplink multi-user large-scale multiple-input-multiple-output (MIMO) systems, but involves matrix inversion with high complexity. It is firstly proved that the MMSE filtering matrix for large-scale MIMO is symmetric positive definite, based on which a low-complexity near-optimal signal detection algorithm by exploiting the Richardson method to avoid the matrix inversion is proposed. The complexity can be reduced from O(K-3) to O(K-2), where K is the number of users. The convergence proof of the proposed algorithm is also provided. Simulation results show that the proposed signal detection algorithm converges fast, and achieves the near-optimal performance of the classical MMSE algorithm.
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