DocumentCode :
655039
Title :
A Stochastic Cooperative MIMO Channel Model Concerning the Correlation of B-R and R-M
Author :
Liu Chang-Xing ; Gao Jin-Chun ; Liu Yuan-an ; Xie Gang ; Hu Quan
Author_Institution :
Beijing Key Lab. of Work Safety Intell. Monitoring, Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2013
fDate :
10-12 Oct. 2013
Firstpage :
448
Lastpage :
452
Abstract :
An AF relay system usually treats the transmitting, relay, together with the receiving as equivalent channel for channel estimations. It is very important to establish a reasonable channel model to simulate the actual scene. In this paper, a novel cooperative channel model framework is proposed for cooperative multiple-input multiple-output (MIMO) wireless channels. The proposed model framework is adaptable to multiple cooperative MIMO scenarios when the relay´s mode is Amplify-and-forward. Given the information of correlation coefficient of transmitting, relay and receiving and the information of Mean and variance of Rayleigh channel, we can simulate the equivalent channel. Matlab simulations show that the equivalent channel is reasonable and the presented channel model can imitate the characters of the AF channel.
Keywords :
MIMO communication; Rayleigh channels; amplify and forward communication; channel estimation; cooperative communication; correlation methods; relay networks (telecommunication); stochastic processes; wireless channels; AF relay system; B-R correlation; Matlab simulations; R-M correlation; Rayleigh channel variance; amplify-and-forward; channel estimations; cooperative multiple-input multiple-output wireless channels; equivalent channel simulation; novel cooperative channel model framework; relay mode; stochastic cooperative MIMO channel model; Antennas; Channel models; Correlation; MIMO; Relays; Signal to noise ratio; Wireless communication; MIMO; channel model; cooperative communication; correlation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2013 International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/CyberC.2013.83
Filename :
6685724
Link To Document :
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