By Topic

Efficient Generation of Spatially and Frequency Correlated Random Values for Cognitive Radio Network Simulators

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

1 Author(s)
Sibille, A. ; ENSTA-ParisTech, Paris, France

We address the generation of random values exhibiting both frequency-dependent spatial correlations and position or more generally terminal-dependent frequency correlations. This case is relevant for the development of radio system/network simulators operating over many bands or over a large spectrum, such as cognitive-radio-inspired networks. The simplistic Kronecker approximation does not allow accounting for both dependencies, but it is shown that a method that is nearly as simple (semi-Kronecker approximation) improves the quality of the generation process very much. The method makes use of nonassociative left and right products of user-dependent frequency correlation matrices and of frequency-dependent spatial correlation matrices. To further reduce the computational load, a correlation zone growth algorithm is also developed, which allows limiting the size of the geographical area within which the correlations are computed. These two features provide high efficiency in the generation process of frequency- and user-domain correlated random values.

Published in:

Vehicular Technology, IEEE Transactions on  (Volume:59 ,  Issue: 3 )