Research Article
LR-RZF Pre-coding for Massive MIMO Systems Based on Truncated Polynomial Expansion
@INPROCEEDINGS{10.1007/978-3-319-72823-0_39, author={Chi Zhang and Zhengquan Li and Yaoyao Sun and Lianfeng Shen and Xinxin Ni}, title={LR-RZF Pre-coding for Massive MIMO Systems Based on Truncated Polynomial Expansion}, proceedings={5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings}, proceedings_a={5GWN}, year={2018}, month={1}, keywords={LR RZF TPE Massive MIMO}, doi={10.1007/978-3-319-72823-0_39} }- Chi Zhang
Zhengquan Li
Yaoyao Sun
Lianfeng Shen
Xinxin Ni
Year: 2018
LR-RZF Pre-coding for Massive MIMO Systems Based on Truncated Polynomial Expansion
5GWN
Springer
DOI: 10.1007/978-3-319-72823-0_39
Abstract
In order to effectively eliminate multi-user interference at the transmitter, the transmit signals are needed to be pre-processing, which is called pre-coding. Traditional linear pre-coding algorithms, especially regularized zero forcing (RZF) pre-coding, are famous for good performance and low computation complexity. However, they cause noise amplification which requires high transmit power to prevent. Lattice-reduction aided (LR-aided) technique is used to deal with the row/column of matrix, which can make the matrix orthogonality better. Therefore, to avoid noise amplification as well as effectively eliminate the multi-user interference, we propose a LR-RZF pre-coding algorithm which based on matrix truncated polynomial expansion (TPE) with terms. TPE method can decrease the complexity of matrix inversion in RZF. Compared with RZF pre-coding, LR-RZF pre-coding has lower bit error rate.