Open AccessDecode‐and‐forward relaying in mixed η − μ and gamma–gamma dual hop transmission system
Author(s) -
Sharma Nikhil,
Bansal Ankur,
Garg Parul
Publication year - 2016
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2015.0992
Subject(s) - cumulative distribution function , gamma distribution , relay , computer science , transmission (telecommunications) , bit error rate , decodes , fading , probability density function , topology (electrical circuits) , physics , channel (broadcasting) , electronic engineering , mathematics , telecommunications , decoding methods , statistics , power (physics) , quantum mechanics , combinatorics , engineering
In this study, the authors carry out the performance analysis of an asymmetric dual hop relay system composed of both radio‐frequency (RF) and free‐space optical (FSO) links. The RF link is subject to generalised η − μ distribution, while the channel for FSO link is modelled as gamma–gamma distribution. The decode‐and‐forward relaying phenomena is used, where the relay decodes the received RF signal from the source and converts it into an optical signal using the sub‐carrier intensity‐modulation (SIM) scheme for transmission over the FSO link. The FSO link is subjected to pointing errors and account for both types of detection techniques, i.e. IM/DD and heterodyne detection. Novel exact closed‐form expressions for the probability density function and cumulative distribution function of the equivalent end‐to‐end signal‐to‐noise ratio of the mixed RF/FSO system in terms of Meijer's G function are derived. Capitalising on these derived channel statistics, they provide the new closed‐form expressions of outage probability and the ergodic channel capacity. They also provide the average bit‐error rate for different binary modulations. Furthermore, the Monte Carlo simulations validate the analytical results.