arXiv Analytics

Sign in

arXiv:2409.12758 [math.OC]AbstractReferencesReviewsResources

Validating Convex Optimization of Reconfigurable Intelligent Surfaces via Measurements

Hans-Dieter Lang, Michel A. Nyffenegger, Sven Keller, Patrik Stöckli, Nathan A. Hoffman, Heinz Mathis, Xingqi Zhang

Published 2024-09-19Version 1

Reconfigurable Intelligent Surfaces (RISs) can be designed in various ways. A previously proposed semidefinite relaxation-based optimization method for maximizing power transfer efficiency showed promise, but earlier results were only theoretical. This paper evaluates a small RIS at 3.55GHz, the center of the 5G band "n78", for practical verification of this method. The presented results not only empirically confirm the desired performance of the optimized RIS, but also affirm the optimality of the resulting reactance values. Additionally, this paper discusses several practical aspects of RIS design and measurement, such as the operation of varactor diodes and time gating to omit the direct line-of-sight (LOS) path.

Related articles: Most relevant | Search more
arXiv:1503.09095 [math.OC] (Published 2015-03-31)
Identification of reference set and measurement of returns to scale in DEA: A least distance based framework
arXiv:1903.10569 [math.OC] (Published 2019-03-25)
Guaranteed Performance of Nonlinear Pose Filter on SE(3)
arXiv:1508.01736 [math.OC] (Published 2015-08-07)
Measurement of returns to scale in DEA using the CCR model