Error probability analysis of a novel adaptive beamforming receiver for large-scale multiple-input-multiple-output communication system
Tran, Tuong Xuan
Teh, Kah Chan
Date of Issue2015
School of Electrical and Electronic Engineering
A novel adaptive beamforming receiver is proposed for a multiple-input multiple-output (MIMO) communication system over multipath fading channels. By dividing a large number of receive antennas into many adaptive beamformers (ABFs), the proposed system reduces the array dimension in order to simplify the signal detection process and enjoys the benefit of beamforming techniques to improve the symbol-error rate (SER) performance. The effectiveness of the proposed system depends on the number of ABFs and the number of antennas per ABF. The statistical properties of complex Wishart matrices are applied to analyze the SER performance of the proposed system with both maximum-likelihood (ML) detection and zero-forcing (ZF) detection. Furthermore, we have derived an upper bound for SER of the ML detection based on the smallest eigenvalue distribution. Through our analysis, it has been shown that the proposed system using ML detection provides comparable SER performance, but with a lower complexity as compared to that of a conventional ML receiver due to reduced array dimensions.
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
© 2015 The Institution of Engineering and Technology. This is the author created version of a work that has been peer reviewed and accepted for publication in IET Communications, published by IEEE on behalf of The Institution of Engineering and Technology. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1049/iet-com.2014.0805].