By Topic

Experimental evaluation of distributed radio resource optimization algorithm based on the neural networks for Cognitive Wireless Cloud

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

4 Author(s)
Hasegawa, M. ; Dept. of Electr. Eng., Tokyo Univ. of Sci., Tokyo, Japan ; Ishizu, K. ; Murakami, H. ; Harada, H.

In this paper, we apply distributed optimization dynamics of the mutually connected neural networks to RAN selection in heterogeneous type cognitive wireless networks. We evaluate the performance of the proposed approach by implementing it on an experimental heterogeneous wireless network system called Cognitive Wireless Cloud, which supports vertical handover between different radio access networks and various information exchange defined in IEEE1900.4. Our neural algorithm implemented on such an experimental wireless network optimizes objective function without any centralized computation. As the objective functions, we introduce two types of problems, load balancing and QoS satisfaction rate optimization, and compare the performance of the proposed method with those of other distributed RAN selection algorithms on the real wireless system. The experimental results using such a system show that the proposed algorithm exhibits the best performance. Since our algorithm based on the neural network dynamics directly optimizes the objective functions defined for radio resource usage optimization of the entire wireless network by distributed computation on each terminal, its performance becomes better than other algorithm which is based on the improvement of each terminal's QoS.

Published in:

Personal, Indoor and Mobile Radio Communications Workshops (PIMRC Workshops), 2010 IEEE 21st International Symposium on

Date of Conference:

26-30 Sept. 2010