Abstract — We present exact closed-form expressions for the statistics of the sum of non-identical squared Nakagami-m random variables and it is shown that it can be written as a weighted sum of Erlang distributions. The analysis includes both independent and correlated cases with distinct average powers and integer-order fading parameters. The proposed formulation significantly improves previously published re-sults which are in the form of infinite sums or higher order derivatives. The obtained formulae can be applied on the performance analysis of maximal-ratio combining diversity receivers operating over Nakagami-m fading channels. I
The distribution of the sum of non-negative random variables plays an essential role in the performa...
The distribution of the sum of non-negative random variables plays an essential role in the performa...
The distribution of the sum of non-negative random variables plays an essential role in the performa...
Abstract: We present exact closed-form expressions for the statistics of the sum of non-identical sq...
Abstract—We present closed-form expressions for the prob-ability density function (PDF) and the cumu...
We present closed-form expressions for the probability density function (PDF) and the cumulative dis...
Maximal ratio combiner output distributions of multivariate equal-correlated Nakagami-m fading in th...
Abstract—We present a novel and accurate approximation for the distribution of the sum of equally co...
The probability distribution function (PDF) and cumulative density function of the sum of L independ...
The probability distribution function (PDF) and cumulative density function of the sum of L independ...
Abstract: A closed formulation for the evaluation of the error probability of L-branches Equal-Gain...
In this article, we have studied the statistical properties of the capacity of Nakagami-m channels w...
[[abstract]]In this paper, we perform the analysis of average symbol error probability (SEP) for a d...
In this letter, performance metrics of maximal ratio combiners (MRC) over correlated Nakagami-m fad...
The distribution of the sum of non-negative random variables plays an essential role in the performa...
The distribution of the sum of non-negative random variables plays an essential role in the performa...
The distribution of the sum of non-negative random variables plays an essential role in the performa...
The distribution of the sum of non-negative random variables plays an essential role in the performa...
Abstract: We present exact closed-form expressions for the statistics of the sum of non-identical sq...
Abstract—We present closed-form expressions for the prob-ability density function (PDF) and the cumu...
We present closed-form expressions for the probability density function (PDF) and the cumulative dis...
Maximal ratio combiner output distributions of multivariate equal-correlated Nakagami-m fading in th...
Abstract—We present a novel and accurate approximation for the distribution of the sum of equally co...
The probability distribution function (PDF) and cumulative density function of the sum of L independ...
The probability distribution function (PDF) and cumulative density function of the sum of L independ...
Abstract: A closed formulation for the evaluation of the error probability of L-branches Equal-Gain...
In this article, we have studied the statistical properties of the capacity of Nakagami-m channels w...
[[abstract]]In this paper, we perform the analysis of average symbol error probability (SEP) for a d...
In this letter, performance metrics of maximal ratio combiners (MRC) over correlated Nakagami-m fad...
The distribution of the sum of non-negative random variables plays an essential role in the performa...
The distribution of the sum of non-negative random variables plays an essential role in the performa...
The distribution of the sum of non-negative random variables plays an essential role in the performa...
The distribution of the sum of non-negative random variables plays an essential role in the performa...