On maximum-likelihood SINR estimation of MPSK in a multiuser fading channel

Siamak Sorooshyari, Chee Wei Tan, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


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.

Original languageEnglish (US)
Article number5535162
Pages (from-to)4175-4181
Number of pages7
JournalIEEE Transactions on Vehicular Technology
Issue number8
StatePublished - Oct 2010

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


  • Fading channels
  • M-ary phase-shift keying (MPSK) modulation
  • maximum-likelihood (ML) estimation


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