Capacity-approaching linear precoding with low-complexity for large-scale MIMO systems

Linear precoding techniques, such as zero forcing precoding, can achieve the near-optimal capacity due to the favorable channel propagation in large-scale MIMO systems, but involve complicated matrix inversion of large size. In this paper, we propose a low-complexity linear precoding scheme based on...

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Bibliographic Details
Published in:2015 IEEE International Conference on Communications (ICC) pp. 1577 - 1582
Main Authors: Gao, Xinyu, Dai, Linglong, Zhang, Jiayi, Han, Shuangfeng, Chih-Lin, I.
Format: Conference Proceeding
Language:English
Published: IEEE 01.06.2015
Subjects:
Antennas
Computational complexity
Convergence
Downlink
MIMO
Wireless communication
ISSN:1550-3607
Online Access:Get full text
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Summary:Linear precoding techniques, such as zero forcing precoding, can achieve the near-optimal capacity due to the favorable channel propagation in large-scale MIMO systems, but involve complicated matrix inversion of large size. In this paper, we propose a low-complexity linear precoding scheme based on the Gauss-Seidel (GS) method. The proposed scheme can achieve the capacity-approaching performance of the classical linear precoding schemes in an iterative way without complicated matrix inversion, which can reduce the overall complexity by one order of magnitude. We also prove that the proposed GSbased precoding scheme has a faster convergence rate than the recently proposed Neumann-based precoding scheme. Simulation results demonstrate that the proposed scheme can achieve the exact capacity-approaching performance of the classical linear precoding schemes with only a small number of iterations.
ISSN:1550-3607
DOI:10.1109/ICC.2015.7248549