SIGNAL (programming language)

Quantum mechanics

Algorithm

Gaussian

Composite number

Engineering

Statistics

Fading

Applied mathematics

Signal-to-noise ratio (imaging)

Gamma distribution

Fading distribution

Telecommunications

Computer science

Statistical physics

Physics

Mathematics

Politics

Channel state information

Political science

Rayleigh fading

Electronic engineering

Representation (politics)

Generalized gamma distribution

Programming language

Channel (broadcasting)

Wireless

Channel capacity

Electronics Letters

The effective capacity of a communications system using unified models is analysed. To obtain a simple closed-form mathematically tractable expression, two different unified approximate models have been used. The mixture gamma distribution which is a highly accurate approximation approach has been first employed to represent the signal-to-noise ratio of fading channel. In the second approach, the mixture of Gaussian distribution which is another unified representation approach has been utilised. A comparison between the simulated and numerical results using both distributions over composite /gamma fading channels have been provided.

Unified approaches based effective capacity analysis over composite /gamma fading channels