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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2015 IEEE International Conference on Communications (ICC) s. 1577 - 1582
Hlavní autoři: Gao, Xinyu, Dai, Linglong, Zhang, Jiayi, Han, Shuangfeng, Chih-Lin, I.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.06.2015
Témata:
Antennas
Computational complexity
Convergence
Downlink
MIMO
Wireless communication
ISSN:1550-3607
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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