By Topic

Multiuser detection in CDMA based on the annealed neural network

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
$33 $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

2 Author(s)
Sung H. Yoon ; Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA ; S. S. Rao

Recently, several neural network based multiuser detectors in code division multiple access (CDMA) have been studied. The Hopfield neural network based detector showed good performance by properly selecting the parameters of the network and restricting initial states to the outputs of a conventional detector. Inspired by these results, we propose an annealed neural network approach to coherent multiuser detection in a synchronous code division multiple access channel. This technique combines good features of the Hopfield neural network and simulated annealing. This technique eliminates restriction of initial states for the neural network. The performance of this technique is near optimal and close to that of the optimum multiuser detector in the presence of a Gaussian noise and the near-far problem. We will present theoretical and simulated performance enhancement of this technique to the existing methods

Published in:

Neural Networks, 1996., IEEE International Conference on  (Volume:4 )

Date of Conference:

3-6 Jun 1996