Robust Transceiver Design for Full-Duplex Decode-and-Forward Relay-Assisted MIMO Systems
Hossein Esmaeili, Ali Kariminezhad, and Aydin Sezgin

TL;DR
This paper develops a robust transceiver design for MIMO multi-hop systems with decode-and-forward relays, optimizing throughput under residual self-interference uncertainties, and provides insights on antenna allocation for improved robustness.
Contribution
It introduces a novel robust transceiver optimization framework for full-duplex MIMO relays considering channel uncertainties and proposes an efficient iterative algorithm for local optimal solutions.
Findings
Robust throughput maximization under RSI uncertainty.
Optimal antenna allocation favors reception over transmission.
Efficient iterative algorithm for non-convex optimization.
Abstract
Robust transceiver design against unresolvable system uncertainties is of crucial importance for reliable communication. For instance, full-duplex communication suffers from such uncertainties when canceling the self-interference, since some residual self-interference (RSI) remains uncanceled due to imperfect channel knowledge. We consider a MIMO multi-hop system, where the source, the relay and the destination are equipped with multiple antennas. The considered decode-and-forward (DF) hybrid relay can operate in either half-duplex or full-duplex mode, and the mode changes adaptively depending on the RSI strength. We investigate a robust transceiver design problem, which maximizes the throughput rate of the worstcase RSI under the self-interference channel uncertainty bound constraint. The yielded problem turns out to be a non-convex optimization problem, where the non-convex objective…
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