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Asymptotic distributions of the signal-to-interference ratios of LMMSE detection in multiuser communications (2007)

Abstract
Let $\mathbf{s}_{k}=\frac{1}{\sqrt{N}}(v_{1k},\ldots,v_{Nk})^{T}$ , k=1, …, K, where {vik, i, k=1, …} are independent and identically distributed random variables with Ev11=0 and Ev112=1. Let Sk=(s1, …, sk−1, sk+1, …, sK), Pk=diag (p1, …, pk−1, pk+1, …, pK) and βk=pkskT(SkPkSkT+σ2I)−1sk, where pk≥0 and the βk is referred to as the signal-to-interference ratio (SIR) of user k with linear minimum mean-square error (LMMSE) detection in wireless communications. The joint distribution of the SIRs for a finite number of users and the empirical distribution of all users’ SIRs are both investigated in this paper when K and N tend to infinity with the limit of their ratio being positive constant. Moreover, the sum of the SIRs of all users, after subtracting a proper value, is shown to have a Gaussian limit.

Publication details
Download http://ProjectEuclid.org/getRecord?id=euclid.aoap/1171377181
Publisher The Institute of Mathematical Statistics
Repository Project Euclid (Hosted at Cornell University Library) (United States)
Keywords 15A52 (MSC2000), 62P30 (MSC2000), 60F05 (MSC2000), 62E20 (MSC2000), Random quadratic forms, SIR, random matrices, empirical distribution, Stieltjes transform, central limit theorems
Type text
Language Englisch