In this paper, maximum-likelihood (ML) signal-to-interference-plus-noise ratio (SINR) estimation is derived for a multiuser fading channel with additive Gaussian noise and M-ary phase-shift keying (MPSK) signaling for the users. This problem is analyzed in light of works that consider a single-user channel in performing ML signal-to-noise ratio estimation. This work is motivated by the importance of a user's knowledge of its SINR in resource-allocation decisions, particularly power control and rate adaptation.
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