Capacity analysis of α - η - μ channels over different adaptive transmission protocols

In this study, the authors consider the alpha - eta - mu fading channels and derive a new form for the cumulative distribution function of the signal-to-noise ratio (SNR) in terms of the bivariate Fox H-function. They also derive closed-form expressions for the moments and the amount of fading of the SNR. The capacity of alpha - eta - mu fading channels is analysed assuming different adaptive transmission protocols. To this end, they provide analytical closed-form expressions for the average channel capacity with optimal rate adaptation (C-ORA), optimal power and rate adaptation (C-OPRA), channel inversion with fixed rate (CIFR) (C-CIFR), and truncated CIFR (C-TIFR). The derived expressions are valid for arbitrary values of the alpha, eta, and mu fading parameters. The derived expressions can also be reduced to study the capacity of other fading distributions such as eta - mu, alpha - mu, Weibull, and Nakagami. Numerical results are provided and compared with simulations to validate of the derived expressions.