On the signal-to-interference ratio of CDMA systems in wireless communications

Abstract

Let $\{s_{ij}:i,j=1,2,...\}$ consist of i.i.d. random variables in $\mathbb{C}$ with $\mathsf{E}{s}_{11}=0$, $\mathsf{E}|s_{11}{|}^2=1$. For each positive integer $N$, let ${\mathbf{s}}_k={\mathbf{s}}_k(N)=(s_{1k},s_{2k},...,s_{Nk}{)}^T$, $1\le k\le K$, with $K=K(N)$ and $K/N\to c>0$ as $N\to \infty$. Assume for fixed positive integer $L$, for each $N$ and $k\le K$, ${\boldsα}_k=(α_k(1),...,α_k(L))^T$ is random, independent of the $s_{ij}$, and the empirical distribution of $({\alpha }_1,...,{\alpha }_K)$, with probability one converging weakly to a probability distribution $H$ on ${\mathbb{C}}^L$. Let ${\boldsβ}_k={\boldsβ}_k(N)=(α_k(1)\mathbf{s}_k^T,...,α_k(L)\m athbf{s}_k^T)^T$ and set $C=C(N)=(1/N)\sum_{k=2}^K{\bolds β}_k{\bolds β}_k^*$. Let ${\sigma }^2>0$ be arbitrary. Then define $SIR_1=(1/N){\boldsβ}^*_1(C+σ^2I)^{-1}{\boldsβ}_1$, which represents the best signal-to-interference ratio for user 1 with respect to the other $K-1$ users in a direct-sequence code-division multiple-access system in wireless communications. In this paper it is proven that, with probability 1, $SI{R}_1$ tends, as $N\to \infty$, to the limit ${\sum }_{\ell ,{\ell }^{\prime }=1}^L{\bar{\alpha }}_1(\ell )alph{a}_1({\ell }^{\prime })a_{\ell ,{\ell }^{\prime }},$ where $A=(a_{\ell ,{\ell }^{\prime }})$ is nonrandom, Hermitian positive definite, and is the unique matrix of such type satisfying $A=\bigl(c \mathsf{E}\frac{{\boldsα}{\bolds α}^*}{1+{\boldsα}^*A{\boldsα}}+σ^2I_L\bigr)^{-1}$, where ${\boldsα}\in \mathbb{C}^L$ has distribution $H$. The result generalizes those previously derived under more restricted assumptions.

Published at http://dx.doi.org/10.1214/105051606000000637 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)

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