Performance of N-branch receive diversity combining in correlated lognormal channels

Skraparlis, Dimitrios; Sakarellos, Vasileios K.; Panagopoulos, Athanasios D.; Kanellopoulos, J.D.

doi:10.1109/lcomm.2009.090466

Cited by 43 publications

(12 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since we will be dealing with macrodiversity alone, it is very convenient to work with the normal pdf of the type in (5.63) instead of the lognormal pdf in (5.64). The CDF of the output of the SC algorithm has been derived and it is given by (Tellambura 2008;Skraparlis et al 2009Skraparlis et al , 2010 …”

Section: Shadowing Mitigation and Macrodiversitymentioning

confidence: 99%

Fading and Shadowing in Wireless Systems

Shankar

2012

140

131

View full text Add to dashboard Cite

Section: Shadowing Mitigation and Macrodiversitymentioning

confidence: 99%

Fading and Shadowing in Wireless Systems

Shankar

2012

140

131

View full text Add to dashboard Cite

“…Closed-form or single-fold-integral outage probability expressions have been derived for independent channels [2,Chaps. 6,9] [1,Chap. 7].…”

Section: Introductionmentioning

confidence: 99%

A New Asymptotic Analysis Technique for Diversity Receptions Over Correlated Lognormal Fading Channels

Zhu

Cheng

Yan

et al. 2018

IEEE Trans. Commun.

View full text Add to dashboard Cite

Prior asymptotic performance analyses are based on the series expansion of the moment-generating function (MGF) or the probability density function (PDF) of channel coefficients. However, these techniques fail for lognormal fading channels because the Taylor series of the PDF of a lognormal random variable is zero at the origin and the MGF does not have an explicit form. Although lognormal fading model has been widely applied in wireless communications and free-space optical communications, few analytical tools are available to provide elegant performance expressions for correlated lognormal channels. In this work, we propose a novel framework to analyze the asymptotic outage probabilities of selection combining (SC), equal-gain combining (EGC) and maximum-ratio combining (MRC) over equally correlated lognormal fading channels. Based on these closed-form results, we reveal the followings: i) the outage probability of EGC or MRC becomes an infinitely small quantity compared to that of SC at large signal-to-noise ratio (SNR); ii) channel correlation can result in an infinite performance loss at large SNR. More importantly, the analyses reveal insights into the long-standing problem of performance analyses over correlated lognormal channels at high SNR, and circumvent the time-consuming Monte Carlo simulation and numerical integration.

show abstract

“…In this paper, we adopt IG for modeling the fading channel due to the fact that IG approximates accurately complex propagation environments of WSNs with high shadowing phenomena (such as indoor and industrial environments, environmental monitoring with vegetation and critical infrastructures monitoring for security). Moreover, we investigate the connectivity performance of WSNs considering correlated fading channels (realistic assumption) [6] by employing diversity reception techniques [2], [7] and the bivariate IG distribution. The whole analysis is general and can be applied in any WSN operating at various frequencies and where the shadowing phenomena are dominant.…”

Section: Introductionmentioning

confidence: 99%

Connectivity gain evaluation using diversity in wireless sensor networks under correlated shadowing

Pitsiladis

Kourogiorgas

Panagopoulos

2014

The 8th European Conference on Antennas and Propagation (EuCAP 2014)

View full text Add to dashboard Cite

In this paper, common diversity techniques are proposed in order to achieve connectivity improvement in wireless sensor networks under correlated shadowing channels. In the operational environment of WSN's, shadowing is the dominant fading mechanism and has the greatest impact on network's performance and connectivity. A new model based on Inverse Gaussian and Bivariate Inverse Gaussian distribution is proposed for approximating the statistical behavior of Signal-toNoise ratio (SNR) for both correlated and uncorrelated shadowing channels. In order to counterbalance the impact of fading, we suggest the use of Selection Combining (SC) diversity reception scheme. Moreover, our analysis is based on the realistic assumption that the corresponding radio links of the diversity branches are considered correlated. Finally, the connectivity gain from the use of diversity is formulated and calculated for several operational parameters.

show abstract

Performance of N-branch receive diversity combining in correlated lognormal channels

Cited by 43 publications

References 13 publications

Fading and Shadowing in Wireless Systems

Fading and Shadowing in Wireless Systems

A New Asymptotic Analysis Technique for Diversity Receptions Over Correlated Lognormal Fading Channels

Connectivity gain evaluation using diversity in wireless sensor networks under correlated shadowing

Contact Info

Product

Resources

About