Title :
Asymptotic Ergodic Capacity Analysis of Composite Lognormal Shadowed Channels
Author :
Ansari, Imran Shafique ; Alouini, Mohamed-Slim
Author_Institution :
Comput., Electr., & Math. Sci. & Eng. (CEMSE) Div., King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
Abstract :
Capacity analysis of composite lognormal (LN) shadowed links, such as Rician-LN, Gamma-LN, and Weibull-LN, is addressed in this work. More specifically, an exact closed-form expression for the moments of the end-to-end signal-to-noise ratio (SNR) of a single composite link transmission system is presented in terms of well- known elementary functions. Capitalizing on these new moments expressions, we present asymptotically tight lower bounds for the ergodic capacity at high SNR. All the presented results are verified via computer-based Monte-Carlo simulations.
Keywords :
Monte Carlo methods; Rician channels; Weibull distribution; log normal distribution; radio links; Rician-LN; Weibull-LN; asymptotic ergodic capacity analysis; composite lognormal shadowed channels; composite lognormal shadowed links; computer-based Monte-Carlo simulations; exact closed-form expression; gamma-LN; signal-to-noise ratio; single composite link transmission; Channel capacity; Closed-form solutions; Fading; Mathematical model; Rician channels; Shadow mapping; Signal to noise ratio;
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
Conference_Location :
Glasgow
DOI :
10.1109/VTCSpring.2015.7145711
