Numerical Approximations for the Gaussian Q-Function by Sums of Exponentials
Tanash, Islam; Okati, Niloofar; Riihonen, Taneli (2019-10-18)
Tanash, Islam
Okati, Niloofar
Riihonen, Taneli
URSI
18.10.2019
Proceedings of XXXV Finnish URSI Convention on Radio Science
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202001301689
https://urn.fi/URN:NBN:fi:tuni-202001301689
Tiivistelmä
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 summarizes and 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.
Kokoelmat
- TUNICRIS-julkaisut [16726]