Name
Title | ||
|---|---|---|
BER analysis of optical wireless signals through lognormal fading channels with perfect CSI |
Abstract | ||
|---|---|---|
Due to inconsistent atmospheric conditions, scattering and scintillation of free space optical (FSO) signal can occur, thus negatively influencing the received signal intensity. The channel is usually modeled as a normalized fading coefficient with additive Gaussian noise. Optimal detection of the received signal is designed based on a decision rule, e.g., Maximum Likelihood (ML), assuming the receiver knows the noise statistics and fading correlation of the channel. This paper briefly deals with analysis on bit error rate (BER) of a wireless optical signal passing through a lognormally distributed fading channel, when perfect knowledge of channel state information (CSI) at the receiver side is available. Two approaches will be presented to provide closed-form expressions for BER. One uses Gauss-Hermite quadrature approximation and the other one is based on power series. While numerical analysis shows a very small approximation error when the Gauss-Hermite approach is considered, the power series approach does not uses any approximation. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICTEL.2010.5478870 | ICT |
Keywords | Field | DocType |
approximation theory,error statistics,fading channels,log normal distribution,optical communication,ber,ber analysis,gauss-hermite approach,additive gaussian noise,bit error rate,channel state information,decision rule,free space optical signal,lognormal fading channels,maximum likelihood,normalized fading coefficient,numerical analysis,optical wireless signals,perfect csi,received signal intensity,wireless optical signal passing,approximation error,channel state information (csi),fso,gauss-hermite quadrature,lognormal fading,power series,adaptive optics,fading,gaussian noise,atmospheric modeling,free space optics,signal analysis,lognormal distribution,optical scattering,fading channel,signal to noise ratio,gauss hermite quadrature | Fading,Computer science,Signal-to-noise ratio,Communication channel,Algorithm,Real-time computing,Fading distribution,Statistics,Gaussian noise,Approximation error,Channel state information,Bit error rate | Conference |
ISBN | Citations | PageRank |
978-1-4244-5247-7 | 2 | 0.41 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| hassan moradi | 1 | 2 | 0.41 |
| maryam falahpour | 2 | 44 | 2.22 |
| Hazem H. Refai | 3 | 37 | 7.53 |
| Peter G. LoPresti | 4 | 15 | 2.77 |
| mohammed atiquzzaman | 5 | 1205 | 124.47 |