Abstract
Sums of lognormal random variables occur in many wireless communications problems, in part, because a shadowing environment is well modeled by a lognormal distribution. A closed-form expression does not exist for the lognormal characteristic function; as a result no closed-form expression can be derived for the sum distribution. Many approximations exist that are based on approximating a sum of lognormal random variables as another lognormal random variable. A new method for calculating an approximation to a lognormal sum distribution, based on curve fitting on lognormal probability paper is introduced in this paper. Accurate, simple closed-form approximations to distributions and densities of lognormal sum random variables are presented.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
