Transmit Rank Selection in Double-Correlated Rayleigh Fading MIMO Systems

Changfu Xu; Bin Bo; Fengbo Tao; Yong He

10th EAI International Conference on Communications and Networking in China

Research Article

Transmit Rank Selection in Double-Correlated Rayleigh Fading MIMO Systems

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.15-8-2015.2260611,
    author={Changfu Xu and Bin Bo and Fengbo Tao and Yong He},
    title={Transmit Rank Selection in Double-Correlated Rayleigh Fading MIMO Systems},
    proceedings={10th EAI International Conference on Communications and Networking in China},
    publisher={IEEE},
    proceedings_a={CHINACOM},
    year={2015},
    month={9},
    keywords={mimo double-correlated rayleigh fading rank selection statistical csi},
    doi={10.4108/eai.15-8-2015.2260611}
}

Changfu Xu
Bin Bo
Fengbo Tao
Yong He
Year: 2015
Transmit Rank Selection in Double-Correlated Rayleigh Fading MIMO Systems
CHINACOM
IEEE
DOI: 10.4108/eai.15-8-2015.2260611

Changfu Xu¹, Bin Bo¹, Fengbo Tao¹, Yong He²^,*

1: State Grid Jiangsu Electric Power Research Institute
2: Suzhou Aquila Solutions Inc.

*Contact email: aquila_solution@163.com

Abstract

In this paper, the transmit signaling problem for multiple-input multiple-output (MIMO) systems with statistical channel state information (CSI) at the transmitter under double-correlated Rayleigh fading channels is considered. We propose a low complexity transmit signaling algorithm, which we refer to as the rank selection algorithm, based on the upper bound of the ergodic mutual information. This algorithm can achieve higher ergodic mutual information with less power allocation information feedback bits, and does not require computationally complex numerical optimizations over random processes. Simulation results confirm the performance.

Keywords: mimo double-correlated rayleigh fading rank selection statistical csi

Published: 2015-09-21
Publisher: IEEE

: http://dx.doi.org/10.4108/eai.15-8-2015.2260611