期刊
ELECTRONICS LETTERS
卷 53, 期 23, 页码 1552-1553出版社
WILEY
DOI: 10.1049/el.2017.3329
关键词
MIMO communication; signal detection; Jacobian matrices; iterative methods; decision theory; 5G mobile communication; spectral analysis; least mean squares methods; computational complexity; decision-aided Jacobi iteration; signal detection; massive MIMO systems; spectral efficiency; 5G wireless communications; DA-Jacobi iteration; convergence speed; linear minimum mean-squared error detection; linear MMSE detection; computational complexity; error-rate performance
资金
- Ministry of Science and Technology (MOST), Republic of China [MOST 106-2221-E-260-004]
Massive MIMO with high spectral efficiency is one of the key technologies for future 5G wireless communications. For signal detection in such systems, a decision-aided Jacobi (DA-Jacobi) iteration is proposed, which can improve the convergence speed as compared with the conventional Jacobi iteration for calculating the result of the linear minimum mean-squared error (MMSE) detection, and, at the same time, can come with lower computational complexity. Simulation results confirm these advantages and demonstrate that the error-rate performance of the proposed DA-Jacobi iteration can be even better than that of the exact linear MMSE detection.
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