MIMO transceiver design using geometric mean decomposition

Author

Jiang, Yi ; Li, Jian ; Hager, William W.

Author_Institution

Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL, USA

fYear

2004

fDate

24-29 Oct. 2004

Firstpage

193

Lastpage

197

Abstract

We present a multi-input multi-output (MIMO) transceiver design that combines the geometric mean decomposition (GMD) with either the conventional zero-forcing VBLAST decoder (ZF-VBLAST), or the zero-forcing dirty paper precoder (ZF-DP). Our approach decomposes a MIMO channel into multiple identical subchannels, which obviates the need of bit allocation and simplifies the design of modulation/demodulation and coding/decoding schemes. Moreover, we prove that our scheme is asymptotically optimal for high signal-to-noise ratio (SNR) in terms of both the channel throughput and the bit-error-rate (BER) performance.

Keywords

MIMO systems; channel capacity; channel coding; decoding; error statistics; transceivers; BER performance; MIMO channel; MIMO transceiver; MIMO transceiver design; SNR; ZF-DP; ZF-VBLAST; asymptotic optimality; bit error rate; channel throughput; coding/decoding; geometric mean decomposition; modulation/demodulation; multi-input multi-output transceiver; multiple identical subchannels; signal-to-noise ratio; zero-forcing VBLAST decoder; zero-forcing dirty paper precoder; Bit error rate; Bit rate; Channel capacity; Decoding; MIMO; Receiving antennas; Signal to noise ratio; Throughput; Transceivers; Transmitters;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory Workshop, 2004. IEEE

Print_ISBN

0-7803-8720-1

Type

conf

DOI

10.1109/ITW.2004.1405298

Filename

1405298