Elements of signal detection and estimation
Elements of signal detection and estimation
A new outer bound and the noisy-interference sum-rate capacity for Gaussian interference channels
IEEE Transactions on Information Theory
The capacity of wireless networks
IEEE Transactions on Information Theory
The worst additive noise under a covariance constraint
IEEE Transactions on Information Theory
Multiuser Detection in a Dynamic Environment– Part I: User Identification and Data Detection
IEEE Transactions on Information Theory
Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels
IEEE Transactions on Information Theory
The Capacity Region of a Class of Discrete Degraded Interference Channels
IEEE Transactions on Information Theory
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The performance characterization of decentralized wireless networks with uncoordinated sender-destination pairs motivates the study of the totally asynchronous interference channel with single-user receivers. Since this channel is not information stable, its capacity region is determined resorting to information density, although more amenable single-letter inner and outer bounds are provided as well. Aiming at numerical evaluation of the achievable rates, we subsequently concentrate on the inner bound for the Gaussian case. We show that taking Gaussian inputs is not the best choice in general and derive analytical conditions under which other input distributions may be optimal. Essentially, these conditions require the channel to be interference-limited. Finally, the existence of such non-Gaussian distributions with superior performance is validated numerically in different scenarios.