A segmented estimation algorithm recovers the mutual-coupling parameters of a 100-element RIS and yields far more accurate channel predictions than MC-unaware models, though the optimization gains are moderate.
Beyond-Diagonal RIS Prototype and Performance Evaluation
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abstract
We present the first experimental prototype of a reflective beyond-diagonal reconfigurable intelligent surface (BD-RIS), i.e., a RIS with reconfigurable inter-element connections. Our BD-RIS consists of an antenna array whose ports are terminated by a tunable load network. The latter can terminate each antenna port with three distinct individual loads or connect it to an adjacent antenna port. Extensive performance evaluations in a rich-scattering environment validate that inter-element connections are beneficial. Moreover, we observe that our tunable load network's mentioned hardware constraints significantly influence, first, the achievable performance, second, the benefits of having inter-element connections, and, third, the importance of mutual-coupling awareness during optimization.
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Ambiguity-Aware Segmented Estimation of Mutual Coupling in Large RIS: Algorithm and Experimental Validation
A segmented estimation algorithm recovers the mutual-coupling parameters of a 100-element RIS and yields far more accurate channel predictions than MC-unaware models, though the optimization gains are moderate.