A Simple and Accurate Approximation to the SEP of MIMO-MRC Systems with Channel Estimation Error in the Presence of Cochannel Interferences

Author

Li, Guangqiu ; Ge, Jianrun

Author_Institution

Sch. of Commun. Eng., Hangzhou Dianzi Univ., Hangzhou, China

fYear

2009

fDate

24-26 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

In this paper, we investigate the impact of channel estimation error on the average symbol error probability (SEP) of multiple-input multiple-output maximal-ratio combining (MRC) systems in the presence of cochannel interferences (CCIs) in Rayleigh fading channels. Using an accurate exponential bound for the Gaussian Q-function, we present a simple approximate solution for the average SEP of general rectangular quardrature amplitude modulation (QAM) schemes with M-ary signaling. The approximate solution can be used to compute the average SEP of general rectangular QAM in Rayleigh fading channels. Numerical or simulation results are presented to verify the accuracy of the solution.

Keywords

Gaussian processes; MIMO communication; Rayleigh channels; approximation theory; channel estimation; cochannel interference; diversity reception; error statistics; quadrature amplitude modulation; CCI; Gaussian Q-function; M-ary signaling; MIMO-MRC system; QAM scheme; Rayleigh fading channel; SEP approximation; average symbol error probability; channel estimation error; cochannel interference; multiple-input multiple-output maximal-ratio combining system; rectangular quardrature amplitude modulation; Amplitude modulation; Channel estimation; Computational modeling; Diversity reception; Error probability; Fading; MIMO; Numerical simulation; Quadrature amplitude modulation; Radiofrequency interference;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-3692-7

Electronic_ISBN

978-1-4244-3693-4

Type

conf

DOI

10.1109/WICOM.2009.5303889

Filename

5303889