Tampere University of Technology

TUTCRIS Research Portal

Numerical Approximations for the Gaussian Q-Function by Sums of Exponentials

Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

Standard

Numerical Approximations for the Gaussian Q-Function by Sums of Exponentials. / Tanash, Islam; Okati, Niloofar; Riihonen, Taneli.

Proceedings of XXXV Finnish URSI Convention on Radio Science. URSI, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

Harvard

Tanash, I, Okati, N & Riihonen, T 2019, Numerical Approximations for the Gaussian Q-Function by Sums of Exponentials. in Proceedings of XXXV Finnish URSI Convention on Radio Science. URSI, Finnish URSI Convention on Radio Science, 1/01/00.

APA

Tanash, I., Okati, N., & Riihonen, T. (2019). Numerical Approximations for the Gaussian Q-Function by Sums of Exponentials. In Proceedings of XXXV Finnish URSI Convention on Radio Science URSI.

Vancouver

Tanash I, Okati N, Riihonen T. Numerical Approximations for the Gaussian Q-Function by Sums of Exponentials. In Proceedings of XXXV Finnish URSI Convention on Radio Science. URSI. 2019

Author

Bibtex - Download

@inproceedings{5351ce6f002b4ae8ab4cb313268e5a4f,
title = "Numerical Approximations for the Gaussian Q-Function by Sums of Exponentials",
abstract = "The accurate prediction of wireless systems’ performance is a key factor in the timely adoption of new technologies and systems’ design. In many cases, when evaluating the performance measures of a communication system with additive white Gaussian noise, integrals involving the Gaussian Q-function appear and closed-form solutions cannot be expressed in terms of elementary functions. This has motivated researchers to propose approximations and bounds for the Gaussian Q-function to facilitate expression manipulations. This paper gives a brief overview about the existing approximations of the Q-function. In addition, it summarizesand compares the different quadrature numerical integration techniques that can be applied in approximating the Gaussian Q-function in a tractable form as a weighted sum of exponentials.",
author = "Islam Tanash and Niloofar Okati and Taneli Riihonen",
year = "2019",
month = "10",
day = "18",
language = "English",
booktitle = "Proceedings of XXXV Finnish URSI Convention on Radio Science",
publisher = "URSI",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Numerical Approximations for the Gaussian Q-Function by Sums of Exponentials

AU - Tanash, Islam

AU - Okati, Niloofar

AU - Riihonen, Taneli

PY - 2019/10/18

Y1 - 2019/10/18

N2 - The accurate prediction of wireless systems’ performance is a key factor in the timely adoption of new technologies and systems’ design. In many cases, when evaluating the performance measures of a communication system with additive white Gaussian noise, integrals involving the Gaussian Q-function appear and closed-form solutions cannot be expressed in terms of elementary functions. This has motivated researchers to propose approximations and bounds for the Gaussian Q-function to facilitate expression manipulations. This paper gives a brief overview about the existing approximations of the Q-function. In addition, it summarizesand compares the different quadrature numerical integration techniques that can be applied in approximating the Gaussian Q-function in a tractable form as a weighted sum of exponentials.

AB - The accurate prediction of wireless systems’ performance is a key factor in the timely adoption of new technologies and systems’ design. In many cases, when evaluating the performance measures of a communication system with additive white Gaussian noise, integrals involving the Gaussian Q-function appear and closed-form solutions cannot be expressed in terms of elementary functions. This has motivated researchers to propose approximations and bounds for the Gaussian Q-function to facilitate expression manipulations. This paper gives a brief overview about the existing approximations of the Q-function. In addition, it summarizesand compares the different quadrature numerical integration techniques that can be applied in approximating the Gaussian Q-function in a tractable form as a weighted sum of exponentials.

M3 - Conference contribution

BT - Proceedings of XXXV Finnish URSI Convention on Radio Science

PB - URSI

ER -