Name
Title | ||
|---|---|---|
Asymptotic Performance Analysis of the k th Best Link Selection Over Wireless Fading Channels: An Extreme Value Theory Approach. |
Abstract | ||
|---|---|---|
We consider a general selection-diversity scheme in which the $k$ th best link is selected from a number of links. We use extreme value theory to derive simple closed-form asymptotic expressions for the average throughput, effective throughput, and average bit error probability for the $k$ th best link over various channel models that are widely used to characterize fading in wireless communication systems. As an application example, we consider the Weibull fading channel model and verify the accuracy of the derived asymptotic expressions through Monte Carlo simulations. |
Year | Venue | Field |
|---|---|---|
2018 | IEEE Trans. Vehicular Technology | Applied mathematics,Monte Carlo method,Random variable,Wireless,Fading,Computer science,Extreme value theory,Signal-to-noise ratio,Weibull fading,Electronic engineering,Throughput |
DocType | Volume | Issue |
Journal | 67 | 7 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yazan H. Al-Badarneh | 1 | 8 | 2.92 |
| Costas N. Georghiades | 2 | 301 | 32.18 |
| Alouini Mohamed-Slim | 3 | 12261 | 1194.14 |