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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zlatanov, N. Hadzi-Velkov, Z. Karagiannidis, G. |
| Copyright Year | 2002 |
| Abstract | There are several cases in wireless communications theory where the statistics of the sum of independent or correlated Nakagami-m random variables (RVs) is necessary to be known. However, a closed-form solution to the distribution of this sum does not exist when the number of constituent RVs exceeds two, even for the special case of Rayleigh fading. In this paper, we present an efficient closed-form approximation for the distribution of the sum of arbitrary correlated Nakagami-m envelopes with identical and integer fading parameters. The distribution becomes exact for maximal correlation, while the tightness of the proposed approximation is validated statistically by using the Chi-square and the Kolmogorov-Smirnov goodness-of-fit tests. As an application, the approximation is used to study the performance of equal-gain combining (EGC) systems operating over arbitrary correlated Nakagami-m fading channels, by utilizing the available analytical results for the error-rate performance of an equivalent maximal-ratio combining (MRC) system. |
| File Size | 387581 |
| File Format | |
| ISSN | 15361276 |
| Volume Number | 9 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Diversity reception Rayleigh channels Wireless communication Statistical distributions Random variables Closed-form solution Nakagami distribution Testing Fading Performance analysis maximal ratio combining (MRC) Nakagami-m fading, arbitrary correlation approximative statistics, equal gain combining (EGC) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Electrical and Electronic Engineering Computer Science Applications |
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