This is an implementation of multivariates I-function (MVIF) in Matlab.
Biomedical Signal Processing and Control (2020)
Ménigot Sébastien, Geryes Maroun, and Girault Jean-Marc
By Badarneh Osamah
IEEE Wireless Communications Letters (2022)
In this letter, the we derive exact expressions for the probability density function, the cumulative distribution function, and the n-th moment of the maximum of L independent and not necessarily identically distributed (i.n.i.d.) extended η-μ variates. The derived statistics are obtained in closed-form in terms of multivariate I-function. Capitalizing on these results, the performance of L selection combining diversity receiver is studied by means of outage probability (OP), average symbol error rate (SER), and ergodic capacity. Besides, simple closed-form asymptotic expressions, in terms of elementary functions, for the OP and average SER are obtained. Monte-Carlo simulation results are provided to verify the new analytical results.
Badarneh O. (2022) Selection Combining over the Extended η-μ Fading Channels. IEEE Wireless Communications Letters.