Cart (Loading....) | Create Account
Close category search window

Efficient relaxed maximum-likelihood MPSK multiuser detection using semidefinite programming

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)
Wing-Kin Ma ; Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China ; Ching, P.C. ; Ding, Z.

The maximum-likelihood (ML) multiuser detector is a powerful method of suppressing the performance degrading effects of multiuser interference, however it is computationally too complex to implement in most practical cases. For the-binary and quadratic PSK cases, it has been recently illustrated that multiuser ML detection (MLD) can be accurately and efficiently approximated by the so-called semidefinite relaxation (SDR) algorithm. In this sequel, we show how the SDR technique is applied to the more difficult problem of MLD with M-ary PSK (MPSK) constellations, to which the previous SDR algorithm is not applicable. We propose an extended SDR algorithm which approximates the MPSK MLD problem with an attractive computational cost of O(K3.5), where K is the number of users. The promising approximation accuracy of the SDR-ML detector is demonstrated by simulation results, where the SDR-ML detector exhibits substantially improved symbol error performance compared with several commonly used suboptimal multiuser detectors.

Published in:

Signal Processing Advances in Wireless Communications, 2003. SPAWC 2003. 4th IEEE Workshop on

Date of Conference:

15-18 June 2003

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 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.