Abstract
Theoretical developments on selection combiner output (SCO) multivariate distributions of popular correlated fading environments, such as Rayleigh, Rician, and Nakagami-m, have been studied in the literature, but those of generalized-Rician fading have not been rigorously studied. The generalized-Rician fading environment, comprising of n underlying non-zero mean independent and identically distributed Gaussian random variables, can be generalized to Rayleigh, Rician, and Nakagami-m fading. In addition, available findings on this topic in the open literature are scattered with mathematical mistakes. This letter thus derives SCO correlated generalized-Rician multivariate cumulative distribution function, then identifies mathematical errors in the open literature, and corrects them. Cross verification of well-known results is mathematically employed. Simulation details of average bit error rate for binary frequency-shift keying are also given for verification purposes.
| Original language | English |
|---|---|
| Pages (from-to) | 242-245 |
| Number of pages | 4 |
| Journal | IEEE Communications Letters |
| Volume | 21 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2017 |
Keywords
- computer networks
- mathematics
- multivariate analysis
- signal processing
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