Ergodic Fading Interference Channels: Sum-Capacity and Separability
Lalitha Sankar, Xiaohu Shang, Elza Erkip, and H. Vincent Poor

TL;DR
This paper characterizes the sum-capacity and optimal coding strategies for various subclasses of ergodic fading Gaussian two-user interference channels, demonstrating when joint coding and interference decoding are optimal.
Contribution
It provides capacity results and optimal power policies for ergodic fading IFCs, including strong, very strong, weak, and hybrid subclasses, highlighting the role of joint coding and interference decoding.
Findings
Optimality of interference decoding in strong and very strong IFCs.
Separable coding and treating interference as noise are optimal for weak IFCs.
Joint coding across fading states improves performance in hybrid IFCs.
Abstract
The sum-capacity for specific sub-classes of ergodic fading Gaussian two-user interference channels (IFCs) is developed under the assumption of perfect channel state information at all transmitters and receivers. For the sub-classes of uniformly strong (every fading state is strong) and ergodic very strong two-sided IFCs (a mix of strong and weak fading states satisfying specific fading averaged conditions) the optimality of completely decoding the interference, i.e., converting the IFC to a compound multiple access channel (C-MAC), is proved. It is also shown that this capacity-achieving scheme requires encoding and decoding jointly across all fading states. As an achievable scheme and also as a topic of independent interest, the capacity region and the corresponding optimal power policies for an ergodic fading C-MAC are developed. For the sub-class of uniformly weak IFCs (every fading…
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