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Effective Rate Evaluation with Assistance of Mixture Gamma (MG), Mixture of Gaussian (MoG), and Fox's H-Function Distributions

Long Kong, Jiguang He, Yun Ai, Symeon Chatzinotas, Bjorn Ottersten
2021 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)  

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This paper investigates the effective rate when the instantaneous received signal-to-noise ratio (SNR) could be modeled as the mixture Gamma (MG), mixture of Gaussian (MoG), and Fox's H-function distributed random variable (RV), respectively. Three closed-form expressions are correspondingly derived in terms of the Fox's H-function. The obtained analytical results are further examined by the Monte-Carlo simulation. One can observe that (i) the analytical solutions provide an excellent match
more » ... the Monte-Carlo simulation results; (ii) the MG and MoG approaches provide highly approximated solutions, and the MG is better due to a simpler form; and (iii) the Fox's H-function solution is exact and offers a unified, general and flexible framework for the effective rate analysis.
doi:10.1109/vtc2021-spring51267.2021.9448819 fatcat:5djt6vdl3rhmrgezqm5puf4loe
Citation

Long Kong, Jiguang He, Yun Ai, Symeon Chatzinotas, Bjorn Ottersten. "Effective Rate Evaluation with Assistance of Mixture Gamma (MG), Mixture of Gaussian (MoG), and Fox's H-Function Distributions." 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) (2021)