TY - GEN
T1 - Maximal conditional efficiency successive interference cancellation
AU - Gupta, Ananya Sen
AU - Singer, Andrew C.
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:33947696058
SN - 142440469X
SN - 9781424404698
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - IV785-IV788
BT - 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
T2 - 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Y2 - 14 May 2006 through 19 May 2006
ER -