Performance of Dual Branch SSC Receiver in Correlated α-μ Fading Channels

Authors:
Jelena A. Anastasov;Stefan R. Panic;Goran T. Djordjevic;Mihajlo C. Stefanovic
Affiliations:
Faculty of Electronic Engineering, University of Niš, Niš, Serbia;Faculty of Electronic Engineering, University of Niš, Niš, Serbia;Faculty of Electronic Engineering, University of Niš, Niš, Serbia;Faculty of Electronic Engineering, University of Niš, Niš, Serbia
Venue:
Wireless Personal Communications: An International Journal
Year:
2012

Citing 3
Cited 1

Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,

Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Generation of bivariate Nakagami-m fading envelopes with arbitrary not necessary identical fading parameters: Research Articles

Wireless Communications & Mobile Computing
Performance analysis of SSC diversity receivers over correlated Ricean fading satellite channels

EURASIP Journal on Wireless Communications and Networking

Outage Probability Analysis of Selection and Switch-and-Stay Combining Diversity Receivers Over the α-μ Fading Channel with Co-Channel Interference

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, the performance analysis of dual branch switch and stay combining (SSC) receivers operating over correlated and identically distributed (i.d.) 驴-μ fading channels is presented. Assuming this diversity technique, infinite series expressions with fast converging properties are derived for the probability density function (pdf), cumulative distribution function (cdf) and the moments of the output envelope. The proposed analysis is used for evaluating the important performance criteria, such as the outage probability, the mean square output envelope, the amount of fading and the average bit error probability (ABEP). The effects of fading severity, branch correlation and optimum choice of switching threshold are considered and numerically presented. Monte Carlo simulations confirm the validity and accuracy of the derived analytical expressions.