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

TL;DR
This paper develops a robust transceiver design for MIMO decode-and-forward full-duplex relays that maximizes throughput under residual self-interference uncertainties, offering practical insights into antenna allocation.
Contribution
It introduces an iterative algorithm for non-convex optimization of robust transceiver design considering RSI uncertainties in MIMO relay systems.
Findings
Optimal antenna allocation depends on source and destination antenna counts.
More antennas at relay input-frontend than output-frontend when source has fewer antennas.
Proposed algorithm effectively handles worst-case RSI channel uncertainties.
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 the 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. We allow multi-stream beamforming granted by MIMO technique, without restricting the transmissions to single streaming. The relay can operate in either half-duplex or full-duplex mode, and it changes the mode depending on the RSI strength. Furthermore, the relay is assumed to perform a decode-and-forward (DF) strategy. We investigate a robust transceiver design problem, which maximizes the throughput rate of the worst-case RSI under RSI channel…
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Taxonomy
TopicsFull-Duplex Wireless Communications · Cooperative Communication and Network Coding · Wireless Communication Security Techniques
