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• W2331758476 abstract "This paper presents an outage analysis for a two-user parallel Gaussian interference channel consisting of two sub-channels. Each sub-channel is modeled as a two-user Gaussian interference channel with quasi-static and flat fading. Both users employ single-layer Gaussian code-books and maintain a statistical correlation $rho $ between the signals transmitted over the underlying sub-channels. When joint decoding (JD) is performed at the receivers, setting $rho =0$ minimizes the outage probability, regardless of the value of the signal-to-noise ratio (SNR). It is shown, however, that if the receivers treat interference as noise (TIN) or cancel interference (CI), the value of optimum $rho $ approaches 1 as SNR goes to infinity. Motivated by these observations, we let $rho =0$ under JD and $rho =1$ under TIN and CI and compute the outage probability in finite SNR, assuming that the direct and crossover channel coefficients are independent zero-mean complex Gaussian random variables with possibly different variances. In the asymptote of large SNR and assuming the transmission rate per user is $rlog mathrm {snr}$ , it is shown that the outage probability scales like $mathrm {snr}^{-(1-r)}$ under both TIN and CI, while it vanishes at least as fast as $mathrm {snr}^{-min {2-r,4(1-r)}}log mathrm {snr}$ under JD. This paper is concluded by extending some of the results to a two-user parallel Gaussian interference channel with an arbitrary number of sub-channels." @default.
• W2331758476 created "2016-06-24" @default.
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• W2331758476 date "2016-05-01" @default.
• W2331758476 modified "2023-09-22" @default.
• W2331758476 title "Signaling Over Two-User Parallel Gaussian Interference Channels: Outage Analysis" @default.
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• W2331758476 doi "https://doi.org/10.1109/tit.2016.2549541" @default.
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