A cross-harmonic ambiguity alignment technique constructs accurate proxy TF-MNT models for time-Floquet RIS from end-to-end measurements, with simulation-based quantification of accuracy versus measurement count and noise.
Mutual-Coupling-Aware Optimization of a Time-Floquet RIS for Harmonic Backscatter Communications
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abstract
This Letter studies the optimization of a wireless communications system empowered by a periodically time-modulated reconfigurable intelligent surface, coined time-Floquet RIS (TF-RIS), in the presence of mutual coupling (MC) among the RIS elements. In contrast to a conventional RIS whose elements may be reconfigured between signaling intervals, a TF-RIS periodically modulates its elements within a signaling interval, thereby inducing frequency conversion. Periodic time modulation is particularly attractive for harmonic backscatter communications to avoid self-jamming. Based on time-Floquet multiport network theory, we formulate an MC-aware optimization problem for binary-amplitude-shift-keying (BASK) harmonic backscatter communications with practical 1-bit-programmable TF-RIS elements. We propose a general discrete-optimization algorithm and evaluate its performance based on realistic model parameters. We systematically examine the performance dependence on the time resolution of the periodic modulation and the number of retained harmonics. Benchmarking against an MC-unaware approach reveals the importance of MC awareness for the more challenging optimization problem of simultaneous desired-harmonic-channel-gain maximization and undesired-harmonic-channel-gain minimization.
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Cross-Harmonic Ambiguity-Aligned Multiport Parameter Estimation for Time-Floquet RIS
A cross-harmonic ambiguity alignment technique constructs accurate proxy TF-MNT models for time-Floquet RIS from end-to-end measurements, with simulation-based quantification of accuracy versus measurement count and noise.