DocumentCode
456876
Title
Soft MCI cancellation for turbo-coded OFCDM systems
Author
Zhou, Yiqing ; Wang, Jiangzhou
Author_Institution
Dept. of Electr. & Electron. Eng., Hong Kong Univ.
Volume
3
fYear
2006
fDate
3-6 April 2006
Firstpage
1561
Lastpage
1566
Abstract
In this paper, the performance of turbo-coded orthogonal frequency and code division multiplexing (OFCDM) systems is investigated with soft multi-code interference (MCI) cancellation. To regenerate the soft interference signal, the conventional turbo decoding algorithm must be modified to provide log likelihood ratio (LLR) values for all coded bits. Based on the LLR outputs of turbo decoder, two soft decision functions are proposed, called LLR-soft-decision and Gaussian-soft-decision functions. By means of computer simulations, the performance of soft MCI cancellation is studied extensively and compared to that of hard ones. It is shown that in a highly frequency selective channel, the proposed soft decision functions outperform the hard decision function with various channel conditions and system parameters. Furthermore, the Gaussian-soft-decision function provides better performance than the LLR-soft-decision function
Keywords
Gaussian channels; channel coding; code division multiplexing; frequency division multiplexing; interference suppression; least mean squares methods; turbo codes; Gaussian-soft-decision functions; MMSE; frequency selective channel; log likelihood ratio; orthogonal frequency and code division multiplexing; soft MCI cancellation; soft multicode interference cancellation; turbo-coded OFCDM systems; Code division multiplexing; Computer simulation; Decoding; Downlink; Gaussian processes; Interference; Neural networks; OFDM; Quadrature phase shift keying; Turbo codes;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference, 2006. WCNC 2006. IEEE
Conference_Location
Las Vegas, NV
ISSN
1525-3511
Print_ISBN
1-4244-0269-7
Electronic_ISBN
1525-3511
Type
conf
DOI
10.1109/WCNC.2006.1696520
Filename
1696520
Link To Document