Title :
Maximal Conditional Efficiency Successive Interference Cancellation
Author :
Gupta, Ananya Sen ; Singer, Andrew C.
Author_Institution :
Lab. of Coordinated Sci., Illinois Univ., Urbana, IL
Abstract :
Conditional asymptotic multi-user efficiency is introduced as a quantitative measure for comparing the performance of multi-user detectors that employ successive interference cancellation (SIC). For a given ordering of user signals, we derive the detector that achieves the maximum asymptotic conditional efficiency for each user among all possible SIC detectors. The optimal ordering that maximizes the asymptotic conditional efficiency at each stage of successive detection is also derived. We extend the concept of maximal asymptotic conditional efficiency detection to the case of joint successive interference cancellation (JSIC), where at each stage of successive detection, the corresponding bit is detected taking into account the interference of the "closest", or nearest, interferer in an ordered set of users. Both detection algorithms proposed are robust against strong correlation of user signals, e.g., in a multi-user system where the user signals are linearly dependent. Simulation results demonstrate that the maximum conditional efficiency approach significantly improves detector performance, particularly at high SNR
Keywords :
interference suppression; multiuser detection; SNR; joint successive interference cancellation; multiuser detectors; Additive white noise; Bit error rate; Coordinate measuring machines; Detection algorithms; Detectors; Gaussian noise; Interference cancellation; Maximum likelihood detection; Multiaccess communication; Silicon carbide;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1661086