Large-system performance analysis of blind and group-blind multiuser receivers

We present a large-system performance analysis of blind and group-blind multiuser detection methods. In these methods, the receivers are estimated based on the received signal samples. In particular, we assume binary random spreading, and let the spreading gain , the number of users , and the number of received signal samples all go to infinity, while keeping the ratios and fixed. We characterize the asymptotic performance of the direct-matrix inversion (DMI) blind linear minimum mean-square error (MMSE) receiver, the subspace blind linear MMSE receiver, and the group-blind linear hybrid receiver. We first derive the asymptotic average output signal-to-interference-plus-noise ratio (SINR) for each of these receivers. Our results reveal an interesting "saturation" phenomenon: The output SINR of each of these receivers converges to a finite limit as the signal-to-noise ratio (SNR) of the desired user increases, which is in stark contrast to the fact that the output SINR achieve...

• Type: Journal
• Year: 2002
• Where: TIT
• Authors: Junshan Zhang, Xiaodong Wang
• Keywords: Group-blind Multiuser, MMSE Receiver, Signal Samples, TIT 2002