Performance Analysis of MIMO System with Linear MMSE Receiver

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 ap...

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Veröffentlicht in:	IEEE transactions on wireless communications 2008-11, Vol.7 (11), p.4474-4478
Hauptverfasser:	Namshik Kim, Yusung Lee, Park, H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Antennas Applied sciences Approximation Computer simulation Exact sciences and technology Fading Gaussian Interference Mathematical analysis Maximum likelihood detection Mean square error methods MIMO minimum mean square error (MMSE) Monte Carlo methods Multiple-input multiple-output (MIMO) Performance analysis Radiocommunications Receiving antennas Samarium Signal to noise ratio signal-to-interference-and-noise ratio (SINR) symbol error rate (SER) Telecommunications Telecommunications and information theory Wireless communication
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Beschreibung
Zusammenfassung:	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.
ISSN:	1536-1276 1558-2248
DOI:	10.1109/T-WC.2008.070785