By Topic

A low complexity code selection method for peak to average power ratio reduction in MC-CDMA

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)
Sisi Liu ; Univ. of Electron. Sci. & Technol. of China, Chengdu ; Yue Xiao ; Wen, Qingsong ; Shaoqian Li

The PAPR problem is one of the main drawbacks in MC-CDMA system. Variable Code Sets (VCS) can improve the PAPR property of the MC-CDMA signals. However, VCS technique requires an exhaustive search over the combinations of allowed spreading code sets. When the number of active users increases, the search complexity will increase exponentially. In this paper, we propose a low complexity VCS (LC-VCS) method to reduce the computational complexity. The basic idea of LC-VCS is to derive new signals using the relationship between candidature signals. Simulation results show that the proposed approach can reduce PAPR with lower computational complexity. In addition, it can be blindly received without any side information due to the orthogonality of spreading codes.

Published in:

Mobile Computing and Wireless Communication International Conference, 2006. MCWC 2006. Proceedings of the First

Date of Conference:

17-20 Sept. 2006