Title :
Iterative Partial PIC for Convolutionally Coded Multi-Carrier DS-CDMA
Author :
Xu Guoxiong ; Liu Quanhang
Author_Institution :
Sch. of Electron. Inf., Zhongyuan Univ. of Technol., Zhengzhou, China
Abstract :
In this paper, we consider convolutionally coded multi-carrier DS-CDMA and propose turbo partial parallel interference cancellation (PPIC) and decoding, which is termed turbo PPIC/decoding. We make analysis and simulations for turbo PPIC/decoding by the computer. The simulation results shows that turbo PPIC/decoding, whether with a priori LLR feedback or with a posteriori LLR feedback, obtains the most dominant performance improvement for the first three iterations, but up to the fourth iteration, the performance improves little, and for the same number of iterations, turbo PPIC/decoding with a posteriori LLR feedback outperforms that with a priori LLR feedback in performance. We also compare turbo PPIC /decoding with turbo PIC/decoding which was previously discussed, which shows that Turbo PPIC /decoding is dominantly superior to Turbo PIC /decoding in performance.
Keywords :
code division multiple access; convolutional codes; interference suppression; iterative decoding; spread spectrum communication; turbo codes; Turbo partial parallel interference cancellation; a posteriori LLR feedback; a priori LLR feedback; convolutional coded multicarrier DS-CDMA; decoding; direct sequence code division multiple access; iterative partial PIC; Computational modeling; Convolution; Convolutional codes; Feedback; Interference cancellation; Iterative decoding; Modulation coding; Multiaccess communication; Multiple access interference; Multiuser detection;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5366331