Unified approaches based effective capacity analysis over composite $\alpha-\eta-\mu$/gamma fading channels

TL;DR

This paper derives simple, closed-form expressions for the effective capacity of communication systems over composite alpha-eta-mu and gamma fading channels using two unified approximation models, enabling easier performance analysis.

Contribution

It introduces two unified approximate models, MG and MoG, for effective capacity analysis over complex fading channels, providing a tractable alternative to exact methods.

Findings

The MG distribution provides highly accurate approximation of SNR.

The MoG distribution offers a viable alternative with comparable accuracy.

Numerical results validate the effectiveness of both models over composite fading channels.

Abstract

This letter analyses the effective capacity of communications system using unified models. In order to obtain a simple closed-form mathematically tractable expression, two different unified approximate models have been used. The mixture gamma (MG) distribution which is highly accurate approximation approach has been firstly employed to represent the signal-to-noise-ratio (SNR) of fading channel. In the second approach, the mixture of Gaussian (MoG) distribution which is another unified representation approach has been utilised. A comparison between the simulated and numerical results using both distributions over composite $\alpha-\eta-\mu$/gamma fading channels has been provided.