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| Content Provider | IET Digital Library |
|---|---|
| Author | Fang, Shu Wu, Jian Xing Lu, Chengyi Yue, Zong di Han, Yuan chao |
| Abstract | Future wireless communication systems require more and more antennas at the transceiver to improve the achievable rates. Multi-user multiple-input multiple-output (MU-MIMO) technique is regarded as a potential technique to serve large number of users simultaneously to further increase the achievable rates in MIMO systems. If the number of antennas at the transceiver is large, the computational complexity of precoding becomes the bottleneck and a big challenge in MU-MIMO system. In this paper, a simplified QR decomposition with lattice reduction assisted MU-MIMO precoding scheme named S-QR-LR is proposed as a low-complexity MU-MIMO transmission scheme. The simplified QR decomposition method is delicately designed and operated twice for the proposed precoding scheme not only to achieve good performance but also reduce the computational complexity significantly. The proposed S-QR-LR scheme first uses the simplified QR decomposition operation to balance the multi-user interference and the noise. Then, the proposed S-QR-LR precoding scheme utilizes the simplified QR decomposition method again with the assist of lattice reduction to obtain the precoding gain to further improve the performance with low computational complexity. Analytical and simulation results show that the proposed S-QR-LR precoding scheme achieves best performance among the existing precoding schemes, but requires the lowest computational complexity. |
| Starting Page | 586 |
| Ending Page | 593 |
| Page Count | 8 |
| ISSN | 17518628 |
| Volume Number | 10 |
| e-ISSN | 17518636 |
| Issue Number | Issue 5, Mar (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/10/5 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2015.0643 |
| Journal | IET Communications |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2016-03-24 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Achievable Rate Improvement Antenna Array Block Diagonalisation Code Computational Complexity Computational Complexity Reduction Future Wireless Communication System Generalised Minimum Mean Square Error Channel Inversion Utilisation Interpolation And Function Approximation Large Matrix Pseudo-inverse Computation Lattice Reduction-assisted MU-MIMO Precoding Scheme Lattice Theory Least Mean Squares Method Linear Algebra Linear Code Linear Precoding Scheme Low-complexity MU-MIMO Transmission LR-assisted MU-MIMO Precoding Scheme LR-S-GMI Precoding Scheme MIMO Communication Multiuser Channel Multiuser Multiple-input-multiple-output Technique Numerical Analysis Precoding Precoding Gain Radio Link And Equipment Radio Transceivers S-QR-LR Precoding Scheme Simplified QR-decomposition MU-MIMO Precoding Scheme Singular Value Decomposition Singular Value Decomposition Operation Transceiver |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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