Abstract
Effective Capacity Analysis Over Generalized Composite Fading Channels
Highlights
Channel capacity is a core performance metric in communication systems
Effective capacity has been proposed as an alternative performance metric owing to its ability to take into account the system’s delay constraint [1]
EFFECTIVE CAPACITY Theorem 2: For κ, μ, γ, θ, B, T ∈ R+ and ms > 1, the following analytic expression holds for the effective capacity over κ-μ/inverse gamma composite fading channels log2Ac2ms ∞
Summary
Channel capacity is a core performance metric in communication systems. Shannon’s ergodic capacity has widely been used, but this is not able to measure the system performance under quality of service (QoS) constraints such as system delay and data rate. To the best of the author’s knowledge, a detailed mathematical treatment of the effective capacity over these two generalized composite fading channels has not been presented in open technical literature To this end, using a similar approach to that utilized in [22], we firstly reformulate the corresponding probability density functions (PDFs) to ensure stability across the complete parameter space when conducting calculations which involve computation of the moments. Proof: The PDF of the signal envelope in a κ-μ/inverse gamma composite channel can be obtained by averaging the infinite integral of the conditional probability density of the κ-μ fading process with respect to the random variation of the mean signal power, such that.
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