Performance Analysis of MIMO System with Linear MMSE Receiver

Author

Kim, Namshik ; Lee, Yusung ; Park, Hyuncheol

Author_Institution

Inf. & Commun. Univ. (ICU), Daejeon

Volume

7

Issue

11

fYear

2008

fDate

11/1/2008 12:00:00 AM

Firstpage

4474

Lastpage

4478

Abstract

This paper considers the uncoded multiple-input multiple-output (MIMO) system with linear minimum mean square error (MMSE) detection under ideal fast fading. The distribution of SINR at the output of the MMSE detection is derived for a small number of transmit and receive antennas. We present new approximation for the Gaussian Q-function driven by numerical simulation. Based on the SINR distribution and new approximation for Q-function, we analyze the performance of linear MMSE detection under ideal fast fading environment. By comparing the analytical results and Monte Carlo simulated results, we validate the analytical results.

Keywords

MIMO communication; Monte Carlo methods; antenna arrays; least mean squares methods; Gaussian Q-function; MIMO system; Monte Carlo analysis; ideal fast fading; linear MMSE receiver; linear minimum mean square error detection; receive antennas; transmit antennas; uncoded multiple-input multiple-output system; Fading; Interference; MIMO; Maximum likelihood detection; Mean square error methods; Performance analysis; Receiving antennas; Samarium; Signal to noise ratio; Wireless communication; Multiple-input multiple-output (MIMO); minimum mean square error (MMSE); signal-to-interference-and-noise ratio (SINR); symbol error rate (SER);

fLanguage

English

Journal_Title

Wireless Communications, IEEE Transactions on

Publisher

ieee

ISSN

1536-1276

Type

jour

DOI

10.1109/T-WC.2008.070785

Filename

4686826