Close category search window
 

On the Joint Distribution of Aggregate Interference at Multiple Wireless Receivers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
KaeWon Choi ; Dept. of Comput. Sci. & Eng., Seoul Nat. Univ. of Sci. & Technol., Seoul, South Korea ; Suhan Choi ; Ji-Hoon Yun

In this paper, we investigate the joint distribution of the aggregate interference at multiple wireless receivers. We consider a wireless system that combines the received signals from spatially distant multiple wireless receivers. In such a system, the aggregate interference at each receiver correlates with those at other receivers, making it important to study the joint distribution of the aggregate interference at multiple receivers. We first derive the multivariate cumulant of the joint distribution of the aggregate interference and investigate the correlation and skewness of the distribution. Based on the cumulant, the joint distribution is approximated by the multivariate log-normal and the shifted log-normal distributions and the Edgeworth expansion. We show that these approximations well match the distribution obtained by a Monte Carlo simulation.

Published in:
Vehicular Technology, IEEE Transactions on  (Volume:62 ,  Issue: 3 )

Date of Publication: March 2013

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.