Outage Performance Analysis of Underlay Cognitive RF and FSO Wireless Channels

Ansari, I. S. , Abdallah, M. M., Alouini, M.-S. and Qaraqe, K. A. (2014) Outage Performance Analysis of Underlay Cognitive RF and FSO Wireless Channels. In: 2014 3rd International Workshop in Optical Wireless Communications (IWOW), Funchal, Portugal, 17 Sept. 2014, pp. 6-10. ISBN 9781479966769 (doi: 10.1109/IWOW.2014.6950766)

Abstract

In this work, the outage performance analysis of a dual-hop transmission system composed of asymmetric radio frequency (RF) channel cascaded with a free-space optical (FSO) link is presented. For the RF link, an underlay cognitive network is considered where the secondary users share the spectrum with licensed primary users. Indoor femtocells act as a practical example for such networks. More specifically, it is assumed that the RF link applies power control to maintain the interference at the primary network below a predetermined threshold. While the RF channel is modeled by the Rayleigh fading distribution, the FSO link is modeled by a unified Gamma-Gamma turbulence distribution. The FSO link accounts for pointing errors and both types of detection techniques (i.e. heterodyne detection as well as intensity modulation/direct detection (IM/DD)). With this model, a new exact closed-form expression is derived for the outage probability of the end-to-end signal-to-noise ratio of these systems in terms of the Meijer's G function and the Fox's H functions under fixed amplify-and-forward relay scheme. All new analytical results are verified via computer-based Monte-Carlo simulations and are illustrated by some selected numerical results.

• Item Type: Conference Proceedings
• Additional Information: This publication was made possible by NPRP grant # [5-250-2-087] from the Qatar National Research Fund (a member of Qatar Foundation).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ansari, Dr Imran
• Authors: Ansari, I. S., Abdallah, M. M., Alouini, M.-S., and Qaraqe, K. A.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• ISBN: 9781479966769