Title :
A comprehensive framework for performance analysis of cooperative multi-hop wireless systems over log-normal fading channels
Author :
Renzo, Marco ; Graziosi, Fabio ; Santucci, Fortunato
Author_Institution :
Lab. for Signals & Syst. (LSS), Ecole Super. d´´Electricite (SUPELEC), Gif-sur-Yvette, France
fDate :
2/1/2010 12:00:00 AM
Abstract :
In this paper, we propose a comprehensive framework for performance analysis of multi-hop multi-branch wireless communication systems over log-normal fading channels. The framework allows to estimate the performance of amplify and forward (AF) relay methods for both channel state information (CSI-) assisted relays, and fixed-gain relays. In particular, the contribution of this paper is twofold: i) first of all, by relying on the Gauss quadrature rule (GQR) representation of the moment generation function (MGF) for a log-normal distribution, we develop accurate formulas for important performance indexes whose accuracy can be estimated a priori and just depends on GQR numerical integration errors; ii) then, in order to simplify the computational burden of the former framework for some system setups, we propose various approximations, which are based on the Improved Schwartz-Yeh (I-SY) method. We show with numerical and simulation results that the proposed approximations provide a good trade-off between accuracy and complexity for both Selection Combining (SC) and Maximal Ratio Combining (MRC) cooperative diversity methods.
Keywords :
channel estimation; diversity reception; fading channels; radio networks; radio repeaters; Gauss quadrature rule; amplify and forward relay method; channel state information assisted relay; cooperative multihop wireless systems; fixed gain relays; improved Schwartz-Yeh method; log normal distribution; lognormal fading channels; maximal ratio combining cooperative diversity methods; moment generation function; performance analysis; selection combining cooperative diversity methods; Channel state information; Diversity reception; Fading; Frame relay; Gaussian approximation; Gaussian distribution; Performance analysis; Spread spectrum communication; State estimation; Wireless communication;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2010.02.080273