DocumentCode
1250056
Title
Asymptotic SEP Analysis of Two-Way Relaying Networks With Distributed Alamouti Codes
Author
Feng-Kui Gong ; Jian-Kang Zhang ; Jian-hua Ge
Author_Institution
State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´an, China
Volume
61
Issue
8
fYear
2012
Firstpage
3777
Lastpage
3783
Abstract
Asymptotic symbol error probability (SEP) performance with an optimal maximum likelihood (ML) receiver and square quadrature amplitude modulation (QAM) constellations is investigated for two-way amplify-and-forward (AF) half-duplex relaying networks employing distributed Alamouti space-time block codes (DASTCs) recently proposed by Duong By developing a novel strategy to particularly deal with some specific Gaussian integrals, two asymptotic SEP formulas are derived for both fixed- and variable-gain AF protocols. These analytic results reveal that, when the signal-to-noise ratio (SNR) is large, the diversity gain for the variable-gain AF is 2, whereas the diversity gain function for the fixed-gain AF is proportional to SNR-2 ln SNR.
Keywords
Gaussian processes; amplify and forward communication; error statistics; maximum likelihood estimation; protocols; quadrature amplitude modulation; space-time block codes; Gaussian integral; asymptotic symbol error probability analysis; distributed Alamouti codes; distributed Alamouti space-time block codes; diversity gain function; fixed-gain AF protocol; optimal maximum likelihood receiver; signal-to-noise ratio; square quadrature amplitude modulation constellation; two-way amplify-and-forward half-duplex relaying network; two-way relaying network; variable-gain AF protocol; Block codes; Diversity methods; Fading; Quadrature amplitude modulation; Relays; Signal to noise ratio; Vectors; Amplify and forward (AF); distributed Alamouti spacetime block code (DASTC); half-duplex two-way relaying networks; symbol error probability (SEP);
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2012.2210060
Filename
6248228
Link To Document