TY - JOUR
T1 - Error exponents analysis of dual-hop η-μ and κ-μ fading channel with amplify-and-forward relaying
AU - Zhang, Yunhan
AU - Xue, Jiang
AU - Ratnarajah, Tharmalingam
AU - Zhong, Caijun
N1 - Publisher Copyright:
© The Institution of Engineering and Technology 2015.
PY - 2015/7/23
Y1 - 2015/7/23
N2 - In this study, the authors investigate the Gallager's error exponents of dual-hop amplify-and-forward systems over generalised η-μ and κ-μ fading channels, two versatile channel models which encompass a number of popular fading channels such as Rayleigh, Rician, Nakagami-m, Hoyt and one-sided Gaussian fading channels. The authors present new analytical expressions for the probability density function of the end-to-end signal-to-noise-ratio (SNR) of the system. These analytical expressions are then applied to analyse the system performance through the study of Gallager's exponents, which are classical tight bounds of error exponents and present the tradeoff between practical information rate and the reliability of communication. Two types of Gallager's exponents, namely, random coding error exponent and expurgated error exponent, are studied. Based on the newly derived analytical expressions, the authors provide an efficient method to compute the required codeword length to achieve a predefined upper bound of error probability. In addition, the analytical expressions are derived for the cutoff rate and ergodic capacity of the system. Moreover, simplified expressions are presented at the high SNR regime. All the analytical results are verified via Monte-Carlo simulations.
AB - In this study, the authors investigate the Gallager's error exponents of dual-hop amplify-and-forward systems over generalised η-μ and κ-μ fading channels, two versatile channel models which encompass a number of popular fading channels such as Rayleigh, Rician, Nakagami-m, Hoyt and one-sided Gaussian fading channels. The authors present new analytical expressions for the probability density function of the end-to-end signal-to-noise-ratio (SNR) of the system. These analytical expressions are then applied to analyse the system performance through the study of Gallager's exponents, which are classical tight bounds of error exponents and present the tradeoff between practical information rate and the reliability of communication. Two types of Gallager's exponents, namely, random coding error exponent and expurgated error exponent, are studied. Based on the newly derived analytical expressions, the authors provide an efficient method to compute the required codeword length to achieve a predefined upper bound of error probability. In addition, the analytical expressions are derived for the cutoff rate and ergodic capacity of the system. Moreover, simplified expressions are presented at the high SNR regime. All the analytical results are verified via Monte-Carlo simulations.
UR - https://www.scopus.com/pages/publications/84937213896
U2 - 10.1049/iet-com.2014.0918
DO - 10.1049/iet-com.2014.0918
M3 - 文章
AN - SCOPUS:84937213896
SN - 1751-8628
VL - 9
SP - 1367
EP - 1379
JO - IET Communications
JF - IET Communications
IS - 11
ER -