Abstract:
This work deals with the optimal planning of low-cost/low-profile passive and static electromagnetic skins (EMSs) allowing to implement Smart Electromagnetic Environments...Show MoreMetadata
Abstract:
This work deals with the optimal planning of low-cost/low-profile passive and static electromagnetic skins (EMSs) allowing to implement Smart Electromagnetic Environments (SEMEs) in large urban areas. Owing to the high complexity/scale of the EM problem at hand, the planning problem is formulated as a global optimization one efficiently solved thanks to a suitably-customized System-by-Design (SbD) methodology relying on Machine Learning (ML) and Evolutionary Algorithms (EAs). An illustrative example is shown to assess the effectiveness of the proposed SEME planning method in a realistic scenario.
Published in: 2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)
Date of Conference: 08-10 June 2022
Date Added to IEEE Xplore: 28 July 2022
ISBN Information: