Elsevier

Signal Processing

Volume 88, Issue 4, April 2008, Pages 1069-1070
Signal Processing

Fast communication
A simpler derivation for an integral useful in wireless communication theory

https://doi.org/10.1016/j.sigpro.2007.11.005Get rights and content

Abstract

The recent paper by Beaulieu [A useful integral for wireless communication theory and its application to rectangular signaling constellation error rates, IEEE Trans. Comm. 54 (May 2006) 802–805] derived a closed form expression for an integral that represents the average over Rayleigh fading of the product of two Gaussian Q functions. In this note, a simpler derivation of the result of Beaulieu [A useful integral for wireless communication theory and its application to rectangular signaling constellation error rates, IEEE Trans. Comm. 54 (May 2006) 802–805] is provided.

Introduction

An integral that occurs frequently in wireless communication theory (see [1], [2], [3], [4]) is that given byI=0f(r)Q(rA1)Q(rA2)dr,wheref(r)=rσ2exp-r22σ2for r0 andQ(x)=12πxexp-t22dt.Actually, (1) represents the probability density function of a random Rayleigh fading amplitude, where A1, A2 and σ are some constants. Until recently, a closed form expression for (1) has not been known. Beaulieu [5] derived the following elementary expression for (1):I=14-12πσ2A121+σ2A12arctanA1A21+σ2A12σ2A12+σ2A221+σ2A22arctanA2A11+σ2A22σ2A22.The proof of (4) in Beaulieu [5] was too long and did not use known results in the mathematics literature. Here, we provide a simpler proof.

Section snippets

A simpler proof

Note that Q(x)=(12){1-erf(x/2)}, where erf(·) denotes the error function defined by erf(x)=(2/π)0xexp(-t2)dt. So, one can rewrite (1) asI=14σ20rexp-r22σ21-erfA1r2×1-erfA2r2dr=14σ20rexp-r22σ2dr-0rexp-r22σ2erfA1r2dr-0rexp-r22σ2erfA2r2dr+0rexp-r22σ2erfA1r2erfA2r2dr.The first integral in (5) is elementary because0rexp-r22σ2dr=σ2.The second and third integrals in (5) reduce to elementary forms by Eq. (2.8.5.9) in Prudnikov et al. [6]:0rexp-r22σ2erfA1r2dr=A1σ3A12σ2+1and0rexp-r22σ2erfA

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