Add to ORKGAbstract—We present a novel and accurate approximation for the distribution of the sum of equally correlated Nakagami-m variates. Ascertaining on this result we study the performance of Equal Gain Combining (EGC) receivers, operating over equally correlating fading channels. Numerical results and simulations show the accuracy of the proposed approximation and the validity of the mathematical analysis. I
We present closed-form expressions for the probability density function (PDF) and the cumulative dis...
In this paper, using an approach based on moment estimators, we propose highly accurate closed-form ...
In this paper, a novel characteristic fimction (CHF)-based approach to the evaluation ql the BER per...
Abstract — We present exact closed-form expressions for the statistics of the sum of non-identical s...
Abstract: A closed formulation for the evaluation of the error probability of L-branches Equal-Gain...
A Nakagami-m approximate distribution to the sum of M non-identical independent Nakagami-m variates ...
Abstract: We present exact closed-form expressions for the statistics of the sum of non-identical sq...
Maximal ratio combiner output distributions of multivariate equal-correlated Nakagami-m fading in th...
Abstract—Previous studies have addressed with the perfor-mance analysis of-branch equal gain combini...
Abstract—In this letter, an approach to the evaluation of the error performance in dual predetection...
Abstract—We present closed-form expressions for the prob-ability density function (PDF) and the cumu...
Abstract — Moments of the equal gain combiner (EGC) output signal-to-noise ratio (SNR) are only know...
A new approximation to the average symbol error rate of cooperative diversity is derived for indepen...
Abstract—In this letter, an alternative moments-based ap-proach for the performance analysis of an-b...
In this paper, performance analysis of diversity technique with equal gain combining method (EGC)...
We present closed-form expressions for the probability density function (PDF) and the cumulative dis...
In this paper, using an approach based on moment estimators, we propose highly accurate closed-form ...
In this paper, a novel characteristic fimction (CHF)-based approach to the evaluation ql the BER per...
Abstract — We present exact closed-form expressions for the statistics of the sum of non-identical s...
Abstract: A closed formulation for the evaluation of the error probability of L-branches Equal-Gain...
A Nakagami-m approximate distribution to the sum of M non-identical independent Nakagami-m variates ...
Abstract: We present exact closed-form expressions for the statistics of the sum of non-identical sq...
Maximal ratio combiner output distributions of multivariate equal-correlated Nakagami-m fading in th...
Abstract—Previous studies have addressed with the perfor-mance analysis of-branch equal gain combini...
Abstract—In this letter, an approach to the evaluation of the error performance in dual predetection...
Abstract—We present closed-form expressions for the prob-ability density function (PDF) and the cumu...
Abstract — Moments of the equal gain combiner (EGC) output signal-to-noise ratio (SNR) are only know...
A new approximation to the average symbol error rate of cooperative diversity is derived for indepen...
Abstract—In this letter, an alternative moments-based ap-proach for the performance analysis of an-b...
In this paper, performance analysis of diversity technique with equal gain combining method (EGC)...
We present closed-form expressions for the probability density function (PDF) and the cumulative dis...
In this paper, using an approach based on moment estimators, we propose highly accurate closed-form ...
In this paper, a novel characteristic fimction (CHF)-based approach to the evaluation ql the BER per...