On Selection Combiner Output Multivariate Distributions in Correlated Generalized-Rician Fading

Theoretical developments on selection combiner output (SCO) multivariate distributions of popular correlated fading environments, such as Rayleigh, Rician, and Nakagami-<inline-formula> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula>, have been studied in the literature, but those of generalized-Rician fading have not been rigorously studied. The generalized-Rician fading environment, comprising of <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula> underlying non-zero mean independent and identically distributed Gaussian random variables, can be generalized to Rayleigh, Rician, and Nakagami-<inline-formula> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula> 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.