Abstract
A novel multiuser separation and equalization scheme is proposed for single carrier wireless communication systems integrating frequency-domain (FD) multiuser turbo equalization (MUTE) and successive interference cancellation (SIC). The proposed iterative structure consists of multiple layers of detection, and at each layer the user with strongest power is processed by a frequency-domain multiuser equalizer to yield the soft extrinsic information on the coded bits of that user, which is delivered to a channel decoder after deinterleaving. The extrinsic information gleaned by the decoder is fed back to both the current and previous multiuser equalizers for the next iteration as a-priori information. The soft symbols of the current user are evaluated by the a-posteriori information of coded bits provided by the multiuser equalizer, and the interference reconstructed by the current user's soft symbols is canceled out from the received signals in frequency domain. The interference-canceled signals are fed forward to subsequent layers for detection of other users. The proposed scheme effectively mitigates multiple access interference and InterSymbol interference by an iterative (turbo) detection method. Numerical simulation examples demonstrate that the proposed FD MUTE with SIC outperforms the traditional MMSE multiuser equalizer over the severely doubly selective channels, and the bit-error-rate performance tends to be better with the increase of iterations. © 2012 Springer Science + Business Media, LLC.
Recommended Citation
J. Zhang and Y. R. Zheng, "Joint Frequency-domain Multiuser Turbo Equalization with Successive Interference Cancellation for Doubly-selective Fading Channels," Wireless Personal Communications, vol. 68, no. 4, pp. 1317 - 1330, Springer, Feb 2013.
The definitive version is available at https://doi.org/10.1007/s11277-012-0509-6
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Frequency domain; Multiuser detection; Successive interference cancellation; Turbo equalization
International Standard Serial Number (ISSN)
0929-6212
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Springer, All rights reserved.
Publication Date
01 Feb 2013
Comments
National Science Foundation, Grant 0846486