Title :
Low Complexity MMSE Vector Precoding Using Lattice Reduction for MIMO Systems
Author :
Feng Liu ; Lingge Jiang ; Chen He
Author_Institution :
Shanghai Jiao Tong Univ., Shanghai
Abstract :
In this paper, a lattice-reduction-aided (LRA) minimum mean square error (MMSE) vector precoding (VP) is proposed for multiple input multiple output (MIMO) systems. Three schemes are provided for the perturbation vector design by Babai´s approximation procedures based on lattice reduction method to reduce the complexity. Performance and complexity analysis are provided. Simulation results show that the proposed schemes significantly outperform the conventional MMSE Tomlinson-Harashima precoding (THP) and the zero forcing (ZF) VP. Compared with the MMSE VP via closest-point search, our LRA approach provides a simple alternative with little performance loss.
Keywords :
MIMO communication; least mean squares methods; perturbation techniques; precoding; Babai approximation; MIMO systems; MMSE vector precoding; Tomlinson-Harashima precoding; lattice reduction; low complexity; minimum mean square error; multiple input multiple output systems; perturbation vector; zero forcing; Communications Society; Decoding; Helium; Lattices; MIMO; Mean square error methods; Performance analysis; Performance loss; System performance; Transmitters;
Conference_Titel :
Communications, 2007. ICC '07. IEEE International Conference on
Conference_Location :
Glasgow
Print_ISBN :
1-4244-0353-7
DOI :
10.1109/ICC.2007.430
