Capacity of the Gaussian Two-Hop Full-Duplex Relay Channel with Residual Self-Interference
Nikola Zlatanov, Erik Sippel, Vahid Jamali, and Robert Schober

TL;DR
This paper derives the capacity of a Gaussian two-hop full-duplex relay channel with residual self-interference, proposing a capacity-achieving coding scheme that outperforms conventional relaying methods.
Contribution
It provides the first explicit capacity characterization and coding scheme for the Gaussian two-hop FD relay channel with residual self-interference.
Findings
Capacity converges to ideal FD or HD limits in extreme interference cases.
Optimal input at source is Gaussian with variance depending on relay's transmit amplitude.
Proposed coding scheme significantly outperforms conventional relaying methods.
Abstract
In this paper, we investigate the capacity of the Gaussian two-hop full-duplex (FD) relay channel with residual self-interference. This channel is comprised of a source, an FD relay, and a destination, where a direct source-destination link does not exist and the FD relay is impaired by residual self-interference. We adopt the worst-case linear self-interference model with respect to the channel capacity, and model the residual self-interference as a Gaussian random variable whose variance depends on the amplitude of the transmit symbol of the relay. For this channel, we derive the capacity and propose an explicit capacity-achieving coding scheme. Thereby, we show that the optimal input distribution at the source is Gaussian and its variance depends on the amplitude of the transmit symbol of the relay. On the other hand, the optimal input distribution at the relay is discrete or…
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