A Quantization Scheme for Lattice-Reduction Aided MIMO Detection

Author

Nguyen, Tien Duc ; Fujino, Tadashi ; Tran, Xuan Nam

Author_Institution

Univ. of Electro-Commun., Tokyo

fYear

2007

fDate

15-18 Dec. 2007

Firstpage

663

Lastpage

667

Abstract

This paper aims at improving bit error rate (BER) performance of lattice reduction aided (LRA) linear detectors for multiple input multiple output (MIMO) wireless systems. Specifically, we present an improved quantization scheme for LRA detectors which can generate a set of candidate symbols from the original LRA estimated symbol. From these symbols, decisions are made in term of the minimum Euclidean distance. It is shown by simulation that the method provides significant BER performance improvement at the cost of small additional complexity.

Keywords

MIMO communication; error statistics; fading channels; quantisation (signal); receiving antennas; transmitting antennas; Euclidean distance; MIMO detection; bit error rate; fading channel; lattice-reduction; linear detectors; multiple input multiple output systems; quantization scheme; receive antenna; transmit antenna; wireless systems; Bit error rate; Computational complexity; Costs; Detectors; Euclidean distance; Lattices; MIMO; Maximum likelihood detection; Quantization; Receiving antennas; MIMO; MMSE; ZF; lattice detection; lattice reduction; spatial multiplexing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2007 IEEE International Symposium on

Conference_Location

Giza

Print_ISBN

978-1-4244-1835-0

Electronic_ISBN

978-1-4244-1835-0

Type

conf

DOI

10.1109/ISSPIT.2007.4458031

Filename

4458031