Efficient Simulation of the Outage Probability of Multihop Systems

Chaouki Ben Issaid; Mohamed Slim Alouini; Raul Tempone

doi:10.1109/JPHOT.2017.2765361

Efficient Simulation of the Outage Probability of Multihop Systems

Chaouki Ben Issaid^*, Mohamed Slim Alouini, Raul Tempone

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, we present an efficient importance sampling estimator for the evaluation of the outage probability of multihop systems with amplify-and-forward channel state-information-assisted. The proposed estimator is endowed with the bounded relative error property. Simulation results show a significant reduction in terms of number of simulation runs compared to naive Monte Carlo.

Original language	English (US)
Article number	8080307
Journal	IEEE Photonics Journal
Volume	9
Issue number	6
DOIs	https://doi.org/10.1109/JPHOT.2017.2765361
State	Published - Dec 2017

Keywords

Importance sampling
amplify-and-forward
multihop systems
naive Monte Carlo.

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering

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10.1109/JPHOT.2017.2765361

Cite this

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title = "Efficient Simulation of the Outage Probability of Multihop Systems",

abstract = "In this paper, we present an efficient importance sampling estimator for the evaluation of the outage probability of multihop systems with amplify-and-forward channel state-information-assisted. The proposed estimator is endowed with the bounded relative error property. Simulation results show a significant reduction in terms of number of simulation runs compared to naive Monte Carlo.",

keywords = "Importance sampling, amplify-and-forward, multihop systems, naive Monte Carlo.",

author = "Issaid, {Chaouki Ben} and Alouini, {Mohamed Slim} and Raul Tempone",

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AU - Tempone, Raul

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AB - In this paper, we present an efficient importance sampling estimator for the evaluation of the outage probability of multihop systems with amplify-and-forward channel state-information-assisted. The proposed estimator is endowed with the bounded relative error property. Simulation results show a significant reduction in terms of number of simulation runs compared to naive Monte Carlo.

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KW - naive Monte Carlo.

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Efficient Simulation of the Outage Probability of Multihop Systems

Abstract

Keywords

ASJC Scopus subject areas

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