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Content Provider | IET Digital Library |
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Author | Lee, Yinman |
Abstract | 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. |
Starting Page | 1552 |
Ending Page | 1554 |
Page Count | 3 |
ISSN | 00135194 |
Volume Number | 53 |
e-ISSN | 1350911X |
Issue Number | Issue 23, Nov (2017) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/53/23 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2017.3329 |
Journal | Electronics Letters |
Publisher Date | 2017-10-19 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | 5G Mobile Communication 5G Wireless Communications Computational Complexity Convergence Speed DA-Jacobi Iteration Decision Theory Decision-aided Jacobi Iteration Error-rate Performance Game Theory Interpolation And Function Approximation Iterative Method Jacobian Matrix Least Mean Squares Method Linear Algebra Linear Minimum Mean-squared Error Detection Linear MMSE Detection Massive MIMO System MIMO Communication Mobile Radio System Numerical Analysis Signal Detection Spectral Analysis Spectral Efficiency |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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